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Advances in Artificial Reality and Tele-Existence [[electronic resource] ] : 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Hangzhou, China, November 28 - December 1, 2006, Proceedings / / edited by Ronghua Liang, Zhigeng Pan, Adrian Cheok, Michael Haller, Rynson W.H. Lau, Hideo Saito
| Advances in Artificial Reality and Tele-Existence [[electronic resource] ] : 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Hangzhou, China, November 28 - December 1, 2006, Proceedings / / edited by Ronghua Liang, Zhigeng Pan, Adrian Cheok, Michael Haller, Rynson W.H. Lau, Hideo Saito |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (XLVI, 1350 p.) |
| Disciplina | 006.8 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
User interfaces (Computer systems)
Artificial intelligence Application software Multimedia information systems Optical data processing User Interfaces and Human Computer Interaction Artificial Intelligence Information Systems Applications (incl. Internet) Multimedia Information Systems Image Processing and Computer Vision Computer Appl. in Arts and Humanities |
| ISBN | 3-540-49779-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Anthropomorphic Intelligent Robotics, Artificial Life -- Augmented Reality/Mixed Reality -- Distributed and Collaborative VR System -- Haptics, Human Factors of VR -- Innovative Applications of VR -- Motion Tracking -- Real Time Computer Simulation -- Tools and Technique for Modeling VR Systems -- Ubiquitous/Wearable Computing -- Virtual Heritage, Virtual Medicine and Health Science -- Virtual Reality -- VR Interaction and Navigation Techniques. |
| Record Nr. | UNISA-996465923603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computer Vision -- ACCV 2014 [[electronic resource] ] : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang
| Computer Vision -- ACCV 2014 [[electronic resource] ] : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XX, 731 p. 323 illus.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Application software Information storage and retrieval Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval |
| ISBN | 3-319-16817-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Accelerating the Distribution Estimation for the Weighted Median/Mode Filters.- Saliency Aggregation: Does Unity Make Strength.- Spontaneous Subtle Expression Recognition: Imbalanced Databases and Solutions.- EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification.- Pixel-Level Hand Detection with Shape-Aware Structured Forests.- Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming.- Shape Matching Using Point Context and Contour Segments.- A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution.- Multiple Ocular Diseases Classification with Graph Regularized Probabilistic Multi-label Learning.- Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis.- A Novel Context-Aware Topic Model for Category Discovery in Natural Scenes.- Robust Sharpness Metrics Using Reorganized DCT Coefficients for Auto-Focus Application.-Dislocation: Scalable Descriptor Distinctiveness for Location Recognition.- Discriminative Collaborative Representation for Classification.- Thread-Safe: Towards Recognizing Human Actions Across Shot Boundaries.- Consistent Foreground Co-segmentation.-On Multiple Image Group Co segmentation.- Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling.- A Message Passing Algorithm for MRF Inference with Unknown Graphs and Its Applications.- Joint Estimation of Pose and Face Landmark.- Probabilistic Sub pixel Temporal Registration for Facial Expression Analysis.- Depth Recovery with Face Priors.- Inlier Estimation for Moving Camera Motion Segmentation.- Real-Time Tracking of Multiple Objects by Linear Motion and Repulsive Motion.- 6-DOF Model Based Tracking via Object Coordinate Regression -- Probabilistic State Space Decomposition for Human Motion Capture.- Spectral Graph Skeletons for 3D Action Recognition.- Robust Point Matching Using Mixture of Asymmetric Gaussians for Nonrigid Transformation.- Multiple Object Tracking by Efficient Graph Partitioning.- Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing.- Coupling Semi-supervised Learning and Example Selection for Online Object Tracking.- Reconstructing Shape and Appearance of Thin Film Objects with Hyper Spectral Sensor.- A Two-Stage Approach for Bag Detection in Pedestrian Images.- Recognizing Daily Activities from First-Person Videos with Multi-task Clustering.- Multi-view Recognition Using Weighted View Selection.- Graph Transduction Learning of Object Proposals for Video Object Segmentation.-Forecasting Events Using an Augmented Hidden Conditional Random Field.- Camera Motion and Surrounding Scene Appearance as Context for Action Recognition.- Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs.- Robust Visual Tracking with Dual Group Structure.- 3D Reconstruction of Specular Objects with Occlusion: A Shape-from-Scattering Approach.- 2D or Not 2D: Bridging the Gap Between Tracking and Structure from Motion.- Clouds in the Cloud.- Fast Segmentation of Sparse 3D Point Trajectories Using Group Theoretical Invariants -- Super pixels for Video Content Using a Contour-Based EM Optimization.-Transformed Principal Gradient Orientation for Robust and Precise Batch Face Alignment. . |
| Record Nr. | UNISA-996208604803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computer Vision -- ACCV 2014 [[electronic resource] ] : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part II / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang
| Computer Vision -- ACCV 2014 [[electronic resource] ] : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part II / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XX, 709 p. 346 illus.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Application software Information storage and retrieval Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval |
| ISBN | 3-319-16808-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996208605103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computer Vision -- ACCV 2014 [[electronic resource] ] : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang
| Computer Vision -- ACCV 2014 [[electronic resource] ] : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XX, 683 p. 255 illus.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics |
| ISBN | 3-319-16814-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Improving Human Action Recognition Using Score Distribution and Ranking.- Context-Aware Activity Forecasting.- DMM-Pyramid Based Deep Architectures for Action Recognition with Depth Cameras.- Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction.- Anomaly Detection via Local Coordinate Factorization and Spatio-Temporal Pyramid.- Intrinsic Image Decomposition from Pair-Wise Shading Ordering.- Never Get Lost Again: Vision Based Navigation Using StreetView Images.- Qualitative and Quantitative Spatio-temporal Relations in Daily Living Activity Recognition.- Blur-Resilient Tracking Using Group Sparsity.- Visual Tracking via Supervised Similarity Matching.- Multi-state Discriminative Video Segment Selection for Complex Event Classification.- Action Recognition in the Presence of One Egocentric and Multiple Static Cameras.- Robust Online Visual Tracking with a Single Convolutional Neural Network.- -Stage Large Point Set Registration Using Gaussian Mixture Models.- Enhanced Sequence Matching for Action Recognition from 3D Skeletal Data.- Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization.- Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity.- Fast Inference of Contaminated Data for Real Time Object Tracking.- Data Mining for Action Recognition.- A Rotation-Invariant Regularization Term for Optical Flow Related Problems.- Landmark-Based Inductive Model for Robust Discriminative Tracking.- Extended Co-occurrence HOG with Dense Trajectories for Fine-Grained.- Motion Based Foreground Detection and Poselet Motion Features for Action Recognition.- Global Motion Estimation from Relative Measurements in the Presence of Outliers -- Clustering Ensemble Tracking.- Query Based Adaptive Re-ranking for Person Re-identification.- Improved Color Patch Similarity Measure Based Weighted Median Filter.- Efficient Pose-Based Action Recognition.- Tracking Multiple People Online and in Real Time.- Optimizing Storage Intensive Vision Applications to Device Capacity.- MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation.- Video Annotation by Incremental Learning from Grouped Heterogeneous Sources.- A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition -- Boosting-Based Visual Tracking Using Structural Local Sparse Descriptors.- Coupling Multiple Alignments and Re-ranking for Low-Latency Online Multi-target Tracking.- Determining Interacting Objects in Human-Centric Activities via Qualitative Spatio-Temporal Reasoning -- Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking.- Cross-view Action Recognition via Dual-Codebook and Hierarchical Transfer Framework -- Stereo Ground Truth with Error Bars.- Separation of Reflection Components by Sparse Non-negative Matrix Factorization.- Spatiotemporal Derivative Pattern: A Dynamic Texture Descriptor for Video Matching -- Weakly Supervised Action Recognition and Localization Using Web Images -- A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups. |
| Record Nr. | UNISA-996208604903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computer Vision -- ACCV 2014 [[electronic resource] ] : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part III / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang
| Computer Vision -- ACCV 2014 [[electronic resource] ] : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part III / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XX, 725 p. 294 illus.) |
| Disciplina | 006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Application software Information storage and retrieval Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval |
| ISBN | 3-319-16811-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996208605003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computer Vision -- ACCV 2014 [[electronic resource] ] : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang
| Computer Vision -- ACCV 2014 [[electronic resource] ] : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XX, 727 p. 293 illus.) |
| Disciplina | 004 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Application software Information storage and retrieval Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval |
| ISBN | 3-319-16865-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Recognition -- Deep Representations to Model User `Likes' -- 1 Introduction -- 2 Semantic Feature Representation -- 3 Proposed Approach -- 3.1 User-Specific Feature Selection -- 3.2 Learning Deep Bimodal Feature Representation -- 4 Experiments -- 4.1 Dataset -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Submodular Reranking with Multiple Feature Modalities for Image Retrieval -- 1 Introduction -- 2 Related Works -- 3 Submodular Reranking -- 3.1 Preliminaries -- 3.2 Information Gain with Graphical Models -- 3.3 Relative Ranking Consistency -- 3.4 Optimization -- 4 Experiments -- 4.1 Experimental Setting -- 4.2 Results Comparisons -- 4.3 Parameter Analysis -- 5 Conclusions -- References -- Accurate Scene Text Recognition Based on Recurrent Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Scene Text Recognition -- 2.2 Recurrent Neural Network -- 3 Feature Preparation -- 4 Recurrent Neural Network Construction -- 5 Word Scoring with Lexicon -- 6 Experiments and Discussion -- 6.1 System Details -- 6.2 Experiments on ICDAR and SVT Datasets -- 6.3 Discussion -- 7 Conclusion -- References -- Massive City-Scale Surface Condition Analysis Using Ground and Aerial Imagery -- 1 Introduction -- 2 Related Work -- 3 Large-Scale Estimation of Land Surface Condition -- 3.1 Debris Detection -- 3.2 Projection of Debris Probabilities onto the Ground -- 3.3 Integration Using Gaussian Process Regression -- 4 Experimental Results -- 4.1 Our Data -- 4.2 Ablative Analysis -- 4.3 Extensions to City-Scale Vegetation Estimation -- 5 Conclusion -- References -- Can Visual Recognition Benefit from Auxiliary Information in Training? -- 1 Introduction -- 2 Related Work -- 3 A Latent Space Model: Addressing Missing-View-in-Test-Data -- 4 DCCA: Formulation -- 5 DCCA: Solution -- 6 Experiments.
6.1 Compared Methods and Datasets -- 6.2 NYU-Depth-V1-Indoor Scene Dataset -- 6.3 RGBD Object Dataset -- 6.4 Multi-Spectral Scene Dataset -- 6.5 Discussion -- 7 Conclusions -- References -- Low Rank Representation on Grassmann Manifolds -- 1 Introduction -- 2 LRR on Grassmann Manifold -- 2.1 Low-Rank Representation (LRR) -- 2.2 LRR on Grassmann Manifolds -- 3 Solution to LRR on Grassmann Manifold -- 4 Experiments -- 4.1 Data Preparation and Experiment Settings -- 4.2 MNIST Handwritten Digits Clustering -- 4.3 Dynamic Texture Clustering -- 5 Conclusion and Future Work -- References -- Poster Session 1 -- Learning Detectors Quickly with Stationary Statistics -- 1 Introduction -- 2 Background -- 2.1 Linear Discriminant Analysis with Stationarity -- 2.2 Correlation Filters -- 2.3 Related Work -- 3 Fast Estimation of the Toeplitz Covariance -- 4 From Toeplitz to Circulant -- 5 Multi-channel, Two-Dimensional Signals -- 5.1 Toeplitz Covariance Matrix -- 5.2 Circulant Covariance Matrix -- 5.3 From Toeplitz to Circulant -- 6 Solving Toeplitz Systems -- 6.1 Direct Methods -- 6.2 Iterative Methods -- 6.3 An Effective Heuristic -- 7 Empirical Study -- 7.1 Detection Performance -- 7.2 Time and Memory -- 8 Conclusion -- References -- Age Estimation Based on Complexity-Aware Features -- 1 Introduction -- 2 Related Work -- 3 Features Used for Face Description -- 3.1 Gradient Features -- 3.2 Gabor Filters -- 4 Learning the Features Using Realadaboost with Complexity Penalty Terms -- 5 Experiments -- 5.1 Experiments Setup -- 5.2 Experimental Results -- 5.3 Analysis -- 6 Conclusion -- References -- Efficient On-the-fly Category Retrieval Using ConvNets and GPUs -- 1 Introduction -- 2 Evaluating Large-Scale Object Category Retrieval -- 2.1 Evaluation Protocol -- 2.2 Experimental Scenarios -- 3 Retrieval Performance over Image Representations -- 3.1 Results and Analysis. 3.2 Implementation Details -- 4 On-the-fly Architecture -- 4.1 System Performance -- 5 Conclusion -- References -- A Latent Clothing Attribute Approach for Human Pose Estimation -- 1 Introduction -- 2 Related Work -- 3 HPE with Latent Clothing Attributes -- 3.1 Feature Representation -- 3.2 Structured Learning with Latent SVM -- 3.3 Inference -- 4 Experiments -- 4.1 Datasets -- 4.2 Baselines and Metric -- 4.3 Results -- 5 Conclusion -- References -- NOKMeans: Non-Orthogonal K-means Hashing -- 1 Introduction -- 2 Background -- 2.1 Notation -- 2.2 Related Work -- 3 Proposed Algorithm -- 3.1 Formulation -- 3.2 Computational Complexity -- 3.3 Discussion -- 4 Experiments -- 4.1 Performance Measurements -- 4.2 Parameter Selection -- 4.3 Results -- 5 Conclusion -- References -- Visual Vocabulary with a Semantic Twist -- 1 Introduction -- 2 Semantic Vocabulary for Object Retrieval -- 2.1 Semantic Vocabulary -- 2.2 Matching Patches: SemanticSIFT -- 2.3 Product Vocabulary and Speedup -- 2.4 Reduction in Memory Requirements -- 2.5 Accounting for Segmentation Uncertainty -- 2.6 Challenges -- 3 Fast Semantic Segmentation -- 3.1 Soft Segments -- 3.2 Labelling -- 3.3 Segmentation Results -- 4 Experimental Setup and Retrieval Results -- 4.1 Evaluation, Datasets and Baseline -- 4.2 Retrieval Results -- 5 Conclusions and Future Work -- References -- Context Based Re-ranking for Object Retrieval -- 1 Introduction -- 2 Related Work -- 3 Context Generation -- 3.1 Random Space Partition -- 3.2 Expansion of Contexts -- 4 Context Based Re-ranking -- 4.1 Computing the Context Factor for Re-ranking -- 5 Experimental Results -- 5.1 Experimental Setup -- 5.2 Evaluation of Random Space Partition -- 5.3 Effects of Context Expansion -- 5.4 Evaluation of Context Re-ranking -- 5.5 Comparison to State-of-the-Art -- 6 Conclusion -- References. Adaptive Structural Model for Video Based Pedestrian Detection -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Bilinear DPM -- 3.2 Cost-Flow Based Data Association -- 4 Adaptive Structural Model -- 4.1 Adaptive DPM and Regularization -- 4.2 Loss Function -- 4.3 Adaptive Optimization -- 5 Experiment -- 5.1 Different Methods for Video Based Detection -- 5.2 The Convergence -- 5.3 Comparisons with State-of-the-Art Methods -- 6 Conclusion -- References -- Fusion of Auxiliary Imaging Information for Robust, Scalable and Fast 3D Reconstruction -- 1 Introduction -- 2 Related Work -- 3 A Global Approach by Iteratively Optimizing Potential Inliers -- 3.1 Step 1: Pre-processing -- 3.2 Step 2: Robust Iterative Rotation Estimation -- 3.3 Step 3: Robust Iterative Scene Reconstruction -- 4 Experiments -- 4.1 Comparison Methods and Comparison Criteria -- 4.2 Results and Analysis -- 5 Conclusion -- References -- What Visual Attributes Characterize an Object Class? -- 1 Introduction -- 2 Related Work -- 3 Unsupervised Visual Attributes Learning -- 3.1 Visual Prototypes Generating -- 3.2 Visual Attributes Learning -- 3.3 Visual Attributes Ranking -- 4 Experiments -- 4.1 Datasets -- 4.2 Experiment Settings -- 4.3 Attribute Learning Results -- 4.4 Object Categorization on AwA -- 4.5 Object Categorization on PASCAL VOC 2007 -- 5 Conclusion -- References -- Accurate Object Detection with Location Relaxation and Regionlets Re-localization -- 1 Introduction -- 2 Our Approach -- 2.1 Bottom-Up Object Proposal -- 2.2 Top-Down Supervised Object Search -- 2.3 Regionlets Object Re-localization -- 3 Experiments -- 3.1 Location Relaxation Search -- 3.2 Regionlets Re-localization -- 3.3 Run-Time Speed -- 4 Conclusions -- References -- Unsupervised Feature Learning for RGB-D Image Classification -- 1 Introduction -- 2 Related Work. 2.1 Work Related to Deep Neural Networks for Image Classification -- 2.2 Work Related to RGB-D Image Classification -- 3 Deep R2ICA Framework -- 3.1 Data Preprocessing -- 3.2 Filter Learning and Feature Encoding -- 3.3 Spatial Pooling and Normalization -- 3.4 Implementation Details -- 4 Experiments -- 4.1 RGB-D Object Recognition Benchmark [15] -- 4.2 2D3D Object Dataset -- 4.3 NYU Depth V1 Indoor Scene Benchmark -- 5 Conclusion -- References -- Non-maximum Suppression for Object Detection by Passing Messages Between Windows -- 1 Introduction -- 2 Related Work -- 3 A Message-Passing Approach for NMS -- 3.1 Affinity Propagation: Binary Formulation and Inference -- 3.2 Adapting Affinity Propagation for NMS -- 3.3 Structured Learning for Affinity Propagation -- 4 Experiments on Object Class Detection -- 4.1 Implementation Details -- 4.2 Results -- 5 Experiments on Generic Object Detection -- 5.1 Implementation Details -- 5.2 Results -- 6 Discussion -- References -- Stable Radial Distortion Calibration by Polynomial Matrix Inequalities Programming -- 1 Introduction -- 2 Camera Radial Distortion -- 2.1 Extrapolation Issues of Radial Distortion Calibration -- 3 Polynomials and PMI Programming -- 3.1 Polynomials and Polynomial Matrices -- 3.2 Polynomials Positive on Finite Intervals -- 3.3 Polynomial Matrix Inequalities -- 4 Shape Optimization for Radial Distortion Calibration -- 4.1 Unconstrained Radial Distortion Calibration -- 4.2 Barrel Distortion and the Polynomial Model -- 4.3 Pincushion Distortion and the Division Model -- 4.4 Zero-Crossing Problem of the Rational Model -- 4.5 Shape Optimization in Camera Calibration Procedure -- 5 Experiments -- 6 Conclusion -- References -- Pedestrian Verification for Multi-Camera Detection -- 1 Introduction -- 2 Related Work -- 3 Base Detector -- 3.1 Low-Level Detection -- 3.2 Mid-Level Aggregation. 4 Pedestrian Verification. |
| Record Nr. | UNISA-996208604703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang
| Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XX, 727 p. 293 illus.) |
| Disciplina | 004 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Application software Information storage and retrieval Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval |
| ISBN | 3-319-16865-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Recognition -- Deep Representations to Model User `Likes' -- 1 Introduction -- 2 Semantic Feature Representation -- 3 Proposed Approach -- 3.1 User-Specific Feature Selection -- 3.2 Learning Deep Bimodal Feature Representation -- 4 Experiments -- 4.1 Dataset -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Submodular Reranking with Multiple Feature Modalities for Image Retrieval -- 1 Introduction -- 2 Related Works -- 3 Submodular Reranking -- 3.1 Preliminaries -- 3.2 Information Gain with Graphical Models -- 3.3 Relative Ranking Consistency -- 3.4 Optimization -- 4 Experiments -- 4.1 Experimental Setting -- 4.2 Results Comparisons -- 4.3 Parameter Analysis -- 5 Conclusions -- References -- Accurate Scene Text Recognition Based on Recurrent Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Scene Text Recognition -- 2.2 Recurrent Neural Network -- 3 Feature Preparation -- 4 Recurrent Neural Network Construction -- 5 Word Scoring with Lexicon -- 6 Experiments and Discussion -- 6.1 System Details -- 6.2 Experiments on ICDAR and SVT Datasets -- 6.3 Discussion -- 7 Conclusion -- References -- Massive City-Scale Surface Condition Analysis Using Ground and Aerial Imagery -- 1 Introduction -- 2 Related Work -- 3 Large-Scale Estimation of Land Surface Condition -- 3.1 Debris Detection -- 3.2 Projection of Debris Probabilities onto the Ground -- 3.3 Integration Using Gaussian Process Regression -- 4 Experimental Results -- 4.1 Our Data -- 4.2 Ablative Analysis -- 4.3 Extensions to City-Scale Vegetation Estimation -- 5 Conclusion -- References -- Can Visual Recognition Benefit from Auxiliary Information in Training? -- 1 Introduction -- 2 Related Work -- 3 A Latent Space Model: Addressing Missing-View-in-Test-Data -- 4 DCCA: Formulation -- 5 DCCA: Solution -- 6 Experiments.
6.1 Compared Methods and Datasets -- 6.2 NYU-Depth-V1-Indoor Scene Dataset -- 6.3 RGBD Object Dataset -- 6.4 Multi-Spectral Scene Dataset -- 6.5 Discussion -- 7 Conclusions -- References -- Low Rank Representation on Grassmann Manifolds -- 1 Introduction -- 2 LRR on Grassmann Manifold -- 2.1 Low-Rank Representation (LRR) -- 2.2 LRR on Grassmann Manifolds -- 3 Solution to LRR on Grassmann Manifold -- 4 Experiments -- 4.1 Data Preparation and Experiment Settings -- 4.2 MNIST Handwritten Digits Clustering -- 4.3 Dynamic Texture Clustering -- 5 Conclusion and Future Work -- References -- Poster Session 1 -- Learning Detectors Quickly with Stationary Statistics -- 1 Introduction -- 2 Background -- 2.1 Linear Discriminant Analysis with Stationarity -- 2.2 Correlation Filters -- 2.3 Related Work -- 3 Fast Estimation of the Toeplitz Covariance -- 4 From Toeplitz to Circulant -- 5 Multi-channel, Two-Dimensional Signals -- 5.1 Toeplitz Covariance Matrix -- 5.2 Circulant Covariance Matrix -- 5.3 From Toeplitz to Circulant -- 6 Solving Toeplitz Systems -- 6.1 Direct Methods -- 6.2 Iterative Methods -- 6.3 An Effective Heuristic -- 7 Empirical Study -- 7.1 Detection Performance -- 7.2 Time and Memory -- 8 Conclusion -- References -- Age Estimation Based on Complexity-Aware Features -- 1 Introduction -- 2 Related Work -- 3 Features Used for Face Description -- 3.1 Gradient Features -- 3.2 Gabor Filters -- 4 Learning the Features Using Realadaboost with Complexity Penalty Terms -- 5 Experiments -- 5.1 Experiments Setup -- 5.2 Experimental Results -- 5.3 Analysis -- 6 Conclusion -- References -- Efficient On-the-fly Category Retrieval Using ConvNets and GPUs -- 1 Introduction -- 2 Evaluating Large-Scale Object Category Retrieval -- 2.1 Evaluation Protocol -- 2.2 Experimental Scenarios -- 3 Retrieval Performance over Image Representations -- 3.1 Results and Analysis. 3.2 Implementation Details -- 4 On-the-fly Architecture -- 4.1 System Performance -- 5 Conclusion -- References -- A Latent Clothing Attribute Approach for Human Pose Estimation -- 1 Introduction -- 2 Related Work -- 3 HPE with Latent Clothing Attributes -- 3.1 Feature Representation -- 3.2 Structured Learning with Latent SVM -- 3.3 Inference -- 4 Experiments -- 4.1 Datasets -- 4.2 Baselines and Metric -- 4.3 Results -- 5 Conclusion -- References -- NOKMeans: Non-Orthogonal K-means Hashing -- 1 Introduction -- 2 Background -- 2.1 Notation -- 2.2 Related Work -- 3 Proposed Algorithm -- 3.1 Formulation -- 3.2 Computational Complexity -- 3.3 Discussion -- 4 Experiments -- 4.1 Performance Measurements -- 4.2 Parameter Selection -- 4.3 Results -- 5 Conclusion -- References -- Visual Vocabulary with a Semantic Twist -- 1 Introduction -- 2 Semantic Vocabulary for Object Retrieval -- 2.1 Semantic Vocabulary -- 2.2 Matching Patches: SemanticSIFT -- 2.3 Product Vocabulary and Speedup -- 2.4 Reduction in Memory Requirements -- 2.5 Accounting for Segmentation Uncertainty -- 2.6 Challenges -- 3 Fast Semantic Segmentation -- 3.1 Soft Segments -- 3.2 Labelling -- 3.3 Segmentation Results -- 4 Experimental Setup and Retrieval Results -- 4.1 Evaluation, Datasets and Baseline -- 4.2 Retrieval Results -- 5 Conclusions and Future Work -- References -- Context Based Re-ranking for Object Retrieval -- 1 Introduction -- 2 Related Work -- 3 Context Generation -- 3.1 Random Space Partition -- 3.2 Expansion of Contexts -- 4 Context Based Re-ranking -- 4.1 Computing the Context Factor for Re-ranking -- 5 Experimental Results -- 5.1 Experimental Setup -- 5.2 Evaluation of Random Space Partition -- 5.3 Effects of Context Expansion -- 5.4 Evaluation of Context Re-ranking -- 5.5 Comparison to State-of-the-Art -- 6 Conclusion -- References. Adaptive Structural Model for Video Based Pedestrian Detection -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Bilinear DPM -- 3.2 Cost-Flow Based Data Association -- 4 Adaptive Structural Model -- 4.1 Adaptive DPM and Regularization -- 4.2 Loss Function -- 4.3 Adaptive Optimization -- 5 Experiment -- 5.1 Different Methods for Video Based Detection -- 5.2 The Convergence -- 5.3 Comparisons with State-of-the-Art Methods -- 6 Conclusion -- References -- Fusion of Auxiliary Imaging Information for Robust, Scalable and Fast 3D Reconstruction -- 1 Introduction -- 2 Related Work -- 3 A Global Approach by Iteratively Optimizing Potential Inliers -- 3.1 Step 1: Pre-processing -- 3.2 Step 2: Robust Iterative Rotation Estimation -- 3.3 Step 3: Robust Iterative Scene Reconstruction -- 4 Experiments -- 4.1 Comparison Methods and Comparison Criteria -- 4.2 Results and Analysis -- 5 Conclusion -- References -- What Visual Attributes Characterize an Object Class? -- 1 Introduction -- 2 Related Work -- 3 Unsupervised Visual Attributes Learning -- 3.1 Visual Prototypes Generating -- 3.2 Visual Attributes Learning -- 3.3 Visual Attributes Ranking -- 4 Experiments -- 4.1 Datasets -- 4.2 Experiment Settings -- 4.3 Attribute Learning Results -- 4.4 Object Categorization on AwA -- 4.5 Object Categorization on PASCAL VOC 2007 -- 5 Conclusion -- References -- Accurate Object Detection with Location Relaxation and Regionlets Re-localization -- 1 Introduction -- 2 Our Approach -- 2.1 Bottom-Up Object Proposal -- 2.2 Top-Down Supervised Object Search -- 2.3 Regionlets Object Re-localization -- 3 Experiments -- 3.1 Location Relaxation Search -- 3.2 Regionlets Re-localization -- 3.3 Run-Time Speed -- 4 Conclusions -- References -- Unsupervised Feature Learning for RGB-D Image Classification -- 1 Introduction -- 2 Related Work. 2.1 Work Related to Deep Neural Networks for Image Classification -- 2.2 Work Related to RGB-D Image Classification -- 3 Deep R2ICA Framework -- 3.1 Data Preprocessing -- 3.2 Filter Learning and Feature Encoding -- 3.3 Spatial Pooling and Normalization -- 3.4 Implementation Details -- 4 Experiments -- 4.1 RGB-D Object Recognition Benchmark [15] -- 4.2 2D3D Object Dataset -- 4.3 NYU Depth V1 Indoor Scene Benchmark -- 5 Conclusion -- References -- Non-maximum Suppression for Object Detection by Passing Messages Between Windows -- 1 Introduction -- 2 Related Work -- 3 A Message-Passing Approach for NMS -- 3.1 Affinity Propagation: Binary Formulation and Inference -- 3.2 Adapting Affinity Propagation for NMS -- 3.3 Structured Learning for Affinity Propagation -- 4 Experiments on Object Class Detection -- 4.1 Implementation Details -- 4.2 Results -- 5 Experiments on Generic Object Detection -- 5.1 Implementation Details -- 5.2 Results -- 6 Discussion -- References -- Stable Radial Distortion Calibration by Polynomial Matrix Inequalities Programming -- 1 Introduction -- 2 Camera Radial Distortion -- 2.1 Extrapolation Issues of Radial Distortion Calibration -- 3 Polynomials and PMI Programming -- 3.1 Polynomials and Polynomial Matrices -- 3.2 Polynomials Positive on Finite Intervals -- 3.3 Polynomial Matrix Inequalities -- 4 Shape Optimization for Radial Distortion Calibration -- 4.1 Unconstrained Radial Distortion Calibration -- 4.2 Barrel Distortion and the Polynomial Model -- 4.3 Pincushion Distortion and the Division Model -- 4.4 Zero-Crossing Problem of the Rational Model -- 4.5 Shape Optimization in Camera Calibration Procedure -- 5 Experiments -- 6 Conclusion -- References -- Pedestrian Verification for Multi-Camera Detection -- 1 Introduction -- 2 Related Work -- 3 Base Detector -- 3.1 Low-Level Detection -- 3.2 Mid-Level Aggregation. 4 Pedestrian Verification. |
| Record Nr. | UNINA-9910483222303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang
| Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XX, 683 p. 255 illus.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics |
| ISBN | 3-319-16814-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Improving Human Action Recognition Using Score Distribution and Ranking.- Context-Aware Activity Forecasting.- DMM-Pyramid Based Deep Architectures for Action Recognition with Depth Cameras.- Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction.- Anomaly Detection via Local Coordinate Factorization and Spatio-Temporal Pyramid.- Intrinsic Image Decomposition from Pair-Wise Shading Ordering.- Never Get Lost Again: Vision Based Navigation Using StreetView Images.- Qualitative and Quantitative Spatio-temporal Relations in Daily Living Activity Recognition.- Blur-Resilient Tracking Using Group Sparsity.- Visual Tracking via Supervised Similarity Matching.- Multi-state Discriminative Video Segment Selection for Complex Event Classification.- Action Recognition in the Presence of One Egocentric and Multiple Static Cameras.- Robust Online Visual Tracking with a Single Convolutional Neural Network.- -Stage Large Point Set Registration Using Gaussian Mixture Models.- Enhanced Sequence Matching for Action Recognition from 3D Skeletal Data.- Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization.- Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity.- Fast Inference of Contaminated Data for Real Time Object Tracking.- Data Mining for Action Recognition.- A Rotation-Invariant Regularization Term for Optical Flow Related Problems.- Landmark-Based Inductive Model for Robust Discriminative Tracking.- Extended Co-occurrence HOG with Dense Trajectories for Fine-Grained.- Motion Based Foreground Detection and Poselet Motion Features for Action Recognition.- Global Motion Estimation from Relative Measurements in the Presence of Outliers -- Clustering Ensemble Tracking.- Query Based Adaptive Re-ranking for Person Re-identification.- Improved Color Patch Similarity Measure Based Weighted Median Filter.- Efficient Pose-Based Action Recognition.- Tracking Multiple People Online and in Real Time.- Optimizing Storage Intensive Vision Applications to Device Capacity.- MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation.- Video Annotation by Incremental Learning from Grouped Heterogeneous Sources.- A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition -- Boosting-Based Visual Tracking Using Structural Local Sparse Descriptors.- Coupling Multiple Alignments and Re-ranking for Low-Latency Online Multi-target Tracking.- Determining Interacting Objects in Human-Centric Activities via Qualitative Spatio-Temporal Reasoning -- Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking.- Cross-view Action Recognition via Dual-Codebook and Hierarchical Transfer Framework -- Stereo Ground Truth with Error Bars.- Separation of Reflection Components by Sparse Non-negative Matrix Factorization.- Spatiotemporal Derivative Pattern: A Dynamic Texture Descriptor for Video Matching -- Weakly Supervised Action Recognition and Localization Using Web Images -- A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups. |
| Record Nr. | UNINA-9910484326403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang
| Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XX, 731 p. 323 illus.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Application software Information storage and retrieval Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval |
| ISBN | 3-319-16817-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Accelerating the Distribution Estimation for the Weighted Median/Mode Filters.- Saliency Aggregation: Does Unity Make Strength.- Spontaneous Subtle Expression Recognition: Imbalanced Databases and Solutions.- EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification.- Pixel-Level Hand Detection with Shape-Aware Structured Forests.- Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming.- Shape Matching Using Point Context and Contour Segments.- A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution.- Multiple Ocular Diseases Classification with Graph Regularized Probabilistic Multi-label Learning.- Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis.- A Novel Context-Aware Topic Model for Category Discovery in Natural Scenes.- Robust Sharpness Metrics Using Reorganized DCT Coefficients for Auto-Focus Application.-Dislocation: Scalable Descriptor Distinctiveness for Location Recognition.- Discriminative Collaborative Representation for Classification.- Thread-Safe: Towards Recognizing Human Actions Across Shot Boundaries.- Consistent Foreground Co-segmentation.-On Multiple Image Group Co segmentation.- Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling.- A Message Passing Algorithm for MRF Inference with Unknown Graphs and Its Applications.- Joint Estimation of Pose and Face Landmark.- Probabilistic Sub pixel Temporal Registration for Facial Expression Analysis.- Depth Recovery with Face Priors.- Inlier Estimation for Moving Camera Motion Segmentation.- Real-Time Tracking of Multiple Objects by Linear Motion and Repulsive Motion.- 6-DOF Model Based Tracking via Object Coordinate Regression -- Probabilistic State Space Decomposition for Human Motion Capture.- Spectral Graph Skeletons for 3D Action Recognition.- Robust Point Matching Using Mixture of Asymmetric Gaussians for Nonrigid Transformation.- Multiple Object Tracking by Efficient Graph Partitioning.- Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing.- Coupling Semi-supervised Learning and Example Selection for Online Object Tracking.- Reconstructing Shape and Appearance of Thin Film Objects with Hyper Spectral Sensor.- A Two-Stage Approach for Bag Detection in Pedestrian Images.- Recognizing Daily Activities from First-Person Videos with Multi-task Clustering.- Multi-view Recognition Using Weighted View Selection.- Graph Transduction Learning of Object Proposals for Video Object Segmentation.-Forecasting Events Using an Augmented Hidden Conditional Random Field.- Camera Motion and Surrounding Scene Appearance as Context for Action Recognition.- Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs.- Robust Visual Tracking with Dual Group Structure.- 3D Reconstruction of Specular Objects with Occlusion: A Shape-from-Scattering Approach.- 2D or Not 2D: Bridging the Gap Between Tracking and Structure from Motion.- Clouds in the Cloud.- Fast Segmentation of Sparse 3D Point Trajectories Using Group Theoretical Invariants -- Super pixels for Video Content Using a Contour-Based EM Optimization.-Transformed Principal Gradient Orientation for Robust and Precise Batch Face Alignment. . |
| Record Nr. | UNINA-9910483047703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part III / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang
| Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part III / / edited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XX, 725 p. 294 illus.) |
| Disciplina | 006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Application software Information storage and retrieval Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval |
| ISBN | 3-319-16811-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483047603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
