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Biometric Recognition [[electronic resource] ] : 14th Chinese Conference, CCBR 2019, Zhuzhou, China, October 12–13, 2019, Proceedings / / edited by Zhenan Sun, Ran He, Jianjiang Feng, Shiguang Shan, Zhenhua Guo
| Biometric Recognition [[electronic resource] ] : 14th Chinese Conference, CCBR 2019, Zhuzhou, China, October 12–13, 2019, Proceedings / / edited by Zhenan Sun, Ran He, Jianjiang Feng, Shiguang Shan, Zhenhua Guo |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVI, 521 p.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Biometrics (Biology)
Optical data processing Artificial intelligence Computer organization User interfaces (Computer systems) Computer security Biometrics Image Processing and Computer Vision Artificial Intelligence Computer Systems Organization and Communication Networks User Interfaces and Human Computer Interaction Systems and Data Security |
| ISBN | 3-030-31456-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hand-Based Biometrics -- Local Discriminative Direction Extraction for Palmprint Recognition -- Fingerprint Presentation Attack Detection via Analyzing Fingerprint Pairs -- Finger Vein Recognition Based on Double-Orientation Coding Histogram -- Fingerprint Classification Based on Lightweighyt Neural Networks -- 3D Fingerprint Gender Classification Using Deep Learning -- A Novel Method for Finger Vein Recognition -- Rolled Fingerprint Mosaicking Algorithm Based on Block Scale -- Study and Realization of Partial Fingerprint Mosaicking Technology for Mobile Devices -- Gesture, Gait and Action -- Multiscale Temporal Network for Video-based Gait Recognition -- Global and Local Spatial-Attention Network for Isolated Gesture Recognition -- Authentication System Design Based On Dynamic Hand Gesture -- Feature Extraction and Classification Theory -- Structure Feature Learning: Constructing Functional Connectivity Network for Alzheimer’s disease Identification and Analysis -- Weakly Supervised Learning of Image Emotion Analysis Based on Cross-spatial Pooling -- Embarrassingly Easy Zero-Shot Image Recognition -- On the Generalization of GAN Image Forensics -- Face -- Deep Residual Equivariant Mapping for Multi-Angle Face Recognition -- The Impact of Data Correlation on Identification of Computer-Generated Face Images -- Face Image Deblurring Based on Iterative Spiral Optimization -- AdaptiveNet: Toward an Efficient Face Alignment Algorithm -- Cross-dimension Transfer Learning for Video-based Facial Expression Recognition -- Exploring Shape Deformation in 2D Images for Facial Expression Recognition -- Facial attractiveness prediction by Deep Adaptive Label Distribution Learning -- LWFD:A Simple Light-Weight Network for Face Detection -- Dairy Cow Tiny Face Recognition Based on Convolutional Neural Networks -- Reconstructed Face Recognition -- A Two-Stage Method for Assessing Facial Paralysis Severity by Fusing Multiple Classifiers -- Latent Spatial Features Based on Generative Adversarial Networks for Face Anti-spoofing -- Similarity Measurement between Reconstructed 3D Face and 2D Face based on Deep Learning -- Real-time Face Occlusion Recognition Algorithm Based on Feature Fusion -- Joint Face Detection and Alignment Using Focal Loss-based Multi-task Convolutional Neural Networks -- A Face Recognition Workflow Based upon Similarity Measurement -- 106-Point Facial Landmark Localization with Mobile Networks Based on Regression -- Eye-Based Biometrics -- Long Range Pupil Location Algorithm Based on the Improved Circle Fitting Method -- Multi-source heterogeneous iris recognition using Locality Preserving Projection -- Iris Recognition Based on Adaptive Optimization Log-Gabor Filter and RBF Neural Network -- Retinal vessel segmentation method based on improved deep U-net -- Multi-pyramid Optimized Mask R-CNN for Iris Detection and Segmentation -- Constrained Sequence Iris Quality Evaluation Based on Causal Relationship Decision Reasoning -- Iris Image Super Resolution based on GANs with Adversarial Triplets -- SDItg-Diff: Noisy Iris Localization based on Statistical Denoising -- End to end robust recognition method for iris using a dense deep convolutional neural network -- Emerging Biometrics -- X-Ray Image With Prohibited Items Synthesis Based on Generative Adversarial Network -- A Deep learning Approach to Web Bot Detection Using Mouse Behavioral Biometrics -- Multi-task Deep Learning for Child Gender and Age Determination on Hand Radiographs -- Shoe Pattern Recognition: A Benchmark -- Learning Discriminative Representation for ECG Biometrics Based on Multi-Scale 1D-PDV -- Off-line handwritten signature recognition based on discrete curvelet transform -- Research on automatic classification method of footwear under low resolution condition -- Behavioral Biometrics -- Low-resolution Person Re-identification By a Discriminative Resolution-invariant Network -- DHML: Deep Heterogeneous Metric Learning for VIS-NIR Person Re-identification -- Teager Energy Operator based Features with x-vector for Replay Attack Detection -- Video Human Behaviour Recognition Based on Improved SVM KNN for Traceability of Planting Industry -- Application of Unscented Kalman Filter in Tracking of Video Moving Target -- Similarity Scores based Re-Classification for Open-Set Person Re-Identification -- The GMM and I-vector Systems Based on Spoofing Algorithms for Speaker Spoofing Detection -- Feature Enhancement for Joint Human and Head Detection. . |
| Record Nr. | UNISA-996466422203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Biometric Recognition [[electronic resource] ] : 14th Chinese Conference, CCBR 2019, Zhuzhou, China, October 12–13, 2019, Proceedings / / edited by Zhenan Sun, Ran He, Jianjiang Feng, Shiguang Shan, Zhenhua Guo
| Biometric Recognition [[electronic resource] ] : 14th Chinese Conference, CCBR 2019, Zhuzhou, China, October 12–13, 2019, Proceedings / / edited by Zhenan Sun, Ran He, Jianjiang Feng, Shiguang Shan, Zhenhua Guo |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVI, 521 p.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Biometrics (Biology)
Optical data processing Artificial intelligence Computer organization User interfaces (Computer systems) Computer security Biometrics Image Processing and Computer Vision Artificial Intelligence Computer Systems Organization and Communication Networks User Interfaces and Human Computer Interaction Systems and Data Security |
| ISBN | 3-030-31456-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hand-Based Biometrics -- Local Discriminative Direction Extraction for Palmprint Recognition -- Fingerprint Presentation Attack Detection via Analyzing Fingerprint Pairs -- Finger Vein Recognition Based on Double-Orientation Coding Histogram -- Fingerprint Classification Based on Lightweighyt Neural Networks -- 3D Fingerprint Gender Classification Using Deep Learning -- A Novel Method for Finger Vein Recognition -- Rolled Fingerprint Mosaicking Algorithm Based on Block Scale -- Study and Realization of Partial Fingerprint Mosaicking Technology for Mobile Devices -- Gesture, Gait and Action -- Multiscale Temporal Network for Video-based Gait Recognition -- Global and Local Spatial-Attention Network for Isolated Gesture Recognition -- Authentication System Design Based On Dynamic Hand Gesture -- Feature Extraction and Classification Theory -- Structure Feature Learning: Constructing Functional Connectivity Network for Alzheimer’s disease Identification and Analysis -- Weakly Supervised Learning of Image Emotion Analysis Based on Cross-spatial Pooling -- Embarrassingly Easy Zero-Shot Image Recognition -- On the Generalization of GAN Image Forensics -- Face -- Deep Residual Equivariant Mapping for Multi-Angle Face Recognition -- The Impact of Data Correlation on Identification of Computer-Generated Face Images -- Face Image Deblurring Based on Iterative Spiral Optimization -- AdaptiveNet: Toward an Efficient Face Alignment Algorithm -- Cross-dimension Transfer Learning for Video-based Facial Expression Recognition -- Exploring Shape Deformation in 2D Images for Facial Expression Recognition -- Facial attractiveness prediction by Deep Adaptive Label Distribution Learning -- LWFD:A Simple Light-Weight Network for Face Detection -- Dairy Cow Tiny Face Recognition Based on Convolutional Neural Networks -- Reconstructed Face Recognition -- A Two-Stage Method for Assessing Facial Paralysis Severity by Fusing Multiple Classifiers -- Latent Spatial Features Based on Generative Adversarial Networks for Face Anti-spoofing -- Similarity Measurement between Reconstructed 3D Face and 2D Face based on Deep Learning -- Real-time Face Occlusion Recognition Algorithm Based on Feature Fusion -- Joint Face Detection and Alignment Using Focal Loss-based Multi-task Convolutional Neural Networks -- A Face Recognition Workflow Based upon Similarity Measurement -- 106-Point Facial Landmark Localization with Mobile Networks Based on Regression -- Eye-Based Biometrics -- Long Range Pupil Location Algorithm Based on the Improved Circle Fitting Method -- Multi-source heterogeneous iris recognition using Locality Preserving Projection -- Iris Recognition Based on Adaptive Optimization Log-Gabor Filter and RBF Neural Network -- Retinal vessel segmentation method based on improved deep U-net -- Multi-pyramid Optimized Mask R-CNN for Iris Detection and Segmentation -- Constrained Sequence Iris Quality Evaluation Based on Causal Relationship Decision Reasoning -- Iris Image Super Resolution based on GANs with Adversarial Triplets -- SDItg-Diff: Noisy Iris Localization based on Statistical Denoising -- End to end robust recognition method for iris using a dense deep convolutional neural network -- Emerging Biometrics -- X-Ray Image With Prohibited Items Synthesis Based on Generative Adversarial Network -- A Deep learning Approach to Web Bot Detection Using Mouse Behavioral Biometrics -- Multi-task Deep Learning for Child Gender and Age Determination on Hand Radiographs -- Shoe Pattern Recognition: A Benchmark -- Learning Discriminative Representation for ECG Biometrics Based on Multi-Scale 1D-PDV -- Off-line handwritten signature recognition based on discrete curvelet transform -- Research on automatic classification method of footwear under low resolution condition -- Behavioral Biometrics -- Low-resolution Person Re-identification By a Discriminative Resolution-invariant Network -- DHML: Deep Heterogeneous Metric Learning for VIS-NIR Person Re-identification -- Teager Energy Operator based Features with x-vector for Replay Attack Detection -- Video Human Behaviour Recognition Based on Improved SVM KNN for Traceability of Planting Industry -- Application of Unscented Kalman Filter in Tracking of Video Moving Target -- Similarity Scores based Re-Classification for Open-Set Person Re-Identification -- The GMM and I-vector Systems Based on Spoofing Algorithms for Speaker Spoofing Detection -- Feature Enhancement for Joint Human and Head Detection. . |
| Record Nr. | UNINA-9910349276603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biometric Recognition [[electronic resource] ] : 13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings / / edited by Jie Zhou, Yunhong Wang, Zhenan Sun, Zhenhong Jia, Jianjiang Feng, Shiguang Shan, Kurban Ubul, Zhenhua Guo
| Biometric Recognition [[electronic resource] ] : 13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings / / edited by Jie Zhou, Yunhong Wang, Zhenan Sun, Zhenhong Jia, Jianjiang Feng, Shiguang Shan, Kurban Ubul, Zhenhua Guo |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVII, 748 p. 364 illus.) |
| Disciplina | 006 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Biometrics (Biology)
Optical data processing Artificial intelligence Computer security Computer communication systems Data structures (Computer science) Biometrics Image Processing and Computer Vision Artificial Intelligence Systems and Data Security Computer Communication Networks Data Structures and Information Theory |
| ISBN | 3-319-97909-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hand-based Biometrics -- Gesture -- Gait -- Action -- Feature Extraction and Classication Theory -- Face -- Eye-based Biometrics -- Emerging Biometrics -- Behavioral Biometrics. |
| Record Nr. | UNINA-9910349416703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biometric Recognition [[electronic resource] ] : 13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings / / edited by Jie Zhou, Yunhong Wang, Zhenan Sun, Zhenhong Jia, Jianjiang Feng, Shiguang Shan, Kurban Ubul, Zhenhua Guo
| Biometric Recognition [[electronic resource] ] : 13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings / / edited by Jie Zhou, Yunhong Wang, Zhenan Sun, Zhenhong Jia, Jianjiang Feng, Shiguang Shan, Kurban Ubul, Zhenhua Guo |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVII, 748 p. 364 illus.) |
| Disciplina | 006 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Biometrics (Biology)
Optical data processing Artificial intelligence Computer security Computer communication systems Data structures (Computer science) Biometrics Image Processing and Computer Vision Artificial Intelligence Systems and Data Security Computer Communication Networks Data Structures and Information Theory |
| ISBN | 3-319-97909-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hand-based Biometrics -- Gesture -- Gait -- Action -- Feature Extraction and Classication Theory -- Face -- Eye-based Biometrics -- Emerging Biometrics -- Behavioral Biometrics. |
| Record Nr. | UNISA-996466202603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Biometric Recognition [[electronic resource] ] : 12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings / / edited by Jie Zhou, Yunhong Wang, Zhenan Sun, Yong Xu, Linlin Shen, Jianjiang Feng, Shiguang Shan, Yu Qiao, Zhenhua Guo, Shiqi Yu
| Biometric Recognition [[electronic resource] ] : 12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings / / edited by Jie Zhou, Yunhong Wang, Zhenan Sun, Yong Xu, Linlin Shen, Jianjiang Feng, Shiguang Shan, Yu Qiao, Zhenhua Guo, Shiqi Yu |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVII, 762 p. 352 illus.) |
| Disciplina | 006 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Biometrics (Biology)
Pattern recognition Optical data processing Algorithms Computer graphics Application software Biometrics Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Graphics Information Systems Applications (incl. Internet) |
| ISBN | 3-319-69923-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Face -- Fingerprint -- Palm-print and vascular biometrics -- Iris -- Gesture and gait.-Emerging biometrics -- Voice and speech -- Video surveillance -- Feature extraction and classification theory -- Behavioral biometrics. |
| Record Nr. | UNINA-9910484725403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biometric Recognition [[electronic resource] ] : 12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings / / edited by Jie Zhou, Yunhong Wang, Zhenan Sun, Yong Xu, Linlin Shen, Jianjiang Feng, Shiguang Shan, Yu Qiao, Zhenhua Guo, Shiqi Yu
| Biometric Recognition [[electronic resource] ] : 12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings / / edited by Jie Zhou, Yunhong Wang, Zhenan Sun, Yong Xu, Linlin Shen, Jianjiang Feng, Shiguang Shan, Yu Qiao, Zhenhua Guo, Shiqi Yu |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVII, 762 p. 352 illus.) |
| Disciplina | 006 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Biometrics (Biology)
Pattern recognition Optical data processing Algorithms Computer graphics Application software Biometrics Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Graphics Information Systems Applications (incl. Internet) |
| ISBN | 3-319-69923-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Face -- Fingerprint -- Palm-print and vascular biometrics -- Iris -- Gesture and gait.-Emerging biometrics -- Voice and speech -- Video surveillance -- Feature extraction and classification theory -- Behavioral biometrics. |
| Record Nr. | UNISA-996465656403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Biometric Recognition [[electronic resource] ] : 11th Chinese Conference, CCBR 2016, Chengdu, China, October 14-16, 2016, Proceedings / / edited by Zhisheng You, Jie Zhou, Yunhong Wang, Zhenan Sun, Shiguang Shan, Weishi Zheng, Jianjiang Feng, Qijun Zhao
| Biometric Recognition [[electronic resource] ] : 11th Chinese Conference, CCBR 2016, Chengdu, China, October 14-16, 2016, Proceedings / / edited by Zhisheng You, Jie Zhou, Yunhong Wang, Zhenan Sun, Shiguang Shan, Weishi Zheng, Jianjiang Feng, Qijun Zhao |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVII, 778 p. 358 illus.) |
| Disciplina | 006 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Biometrics (Biology)
Pattern recognition Optical data processing Algorithms Computer graphics Application software Biometrics Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Graphics Information Systems Applications (incl. Internet) |
| ISBN | 3-319-46654-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Face Recognition and Analysis -- Fingerprint, Palm-print and Vascular Biometrics -- Iris and Ocular Biometrics -- Behavioral Biometrics -- Affective Computing -- Feature Extraction and Classification Theory -- Anti-Spoofing and Privacy -- Surveillance -- DNA and Emerging Biometrics. |
| Record Nr. | UNINA-9910484414403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biometric Recognition [[electronic resource] ] : 11th Chinese Conference, CCBR 2016, Chengdu, China, October 14-16, 2016, Proceedings / / edited by Zhisheng You, Jie Zhou, Yunhong Wang, Zhenan Sun, Shiguang Shan, Weishi Zheng, Jianjiang Feng, Qijun Zhao
| Biometric Recognition [[electronic resource] ] : 11th Chinese Conference, CCBR 2016, Chengdu, China, October 14-16, 2016, Proceedings / / edited by Zhisheng You, Jie Zhou, Yunhong Wang, Zhenan Sun, Shiguang Shan, Weishi Zheng, Jianjiang Feng, Qijun Zhao |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVII, 778 p. 358 illus.) |
| Disciplina | 006 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Biometrics (Biology)
Pattern recognition Optical data processing Algorithms Computer graphics Application software Biometrics Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Graphics Information Systems Applications (incl. Internet) |
| ISBN | 3-319-46654-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Face Recognition and Analysis -- Fingerprint, Palm-print and Vascular Biometrics -- Iris and Ocular Biometrics -- Behavioral Biometrics -- Affective Computing -- Feature Extraction and Classification Theory -- Anti-Spoofing and Privacy -- Surveillance -- DNA and Emerging Biometrics. |
| Record Nr. | UNISA-996465405303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Biometric Recognition [[electronic resource] ] : 10th Chinese Conference, CCBR 2015, Tianjin, China, November 13-15, 2015, Proceedings / / edited by Jinfeng Yang, Jucheng Yang, Zhenan Sun, Shiguang Shan, Weishi Zheng, Jianjiang Feng
| Biometric Recognition [[electronic resource] ] : 10th Chinese Conference, CCBR 2015, Tianjin, China, November 13-15, 2015, Proceedings / / edited by Jinfeng Yang, Jucheng Yang, Zhenan Sun, Shiguang Shan, Weishi Zheng, Jianjiang Feng |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVIII, 739 p. 377 illus. in color.) |
| Disciplina | 006 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Biometrics (Biology)
Pattern recognition Optical data processing Algorithms Computer graphics Application software Biometrics Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Graphics Information Systems Applications (incl. Internet) |
| ISBN | 3-319-25417-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Face -- Adaptive Quotient Image with 3D Generic Elastic Models for Pose and Illumination Invariant Face Recognition -- 1 Introduction -- 2 Adaptive Quotient Image -- 2.1 Quotient Image -- 2.2 Adaptive Quotient Image -- 3 3D Face Reconstruction by GEM -- 4 Face Recognition via Pose-Specific Metric -- 4.1 Pose Estimation and Alignment -- 4.2 Recognition via Pose-Specific Metric -- 5 Experiments and Results -- 5.1 Results -- 6 Conclusion -- References -- Low Rank Analysis of Eye Image Sequence - A Novel Basis for Face Liveness Detection -- 1 Introduction -- 2 Motivations -- 3 Proposed Method -- 3.1 Sample Noising Model -- 3.2 Solutions of the Noising Model -- 3.3 Basis for Classification -- 3.4 The Proposed Algorithm -- 4 Experiments -- 5 Conclusion -- References -- Non-negative Compatible Kernel Construction for Face Recognition -- 1 Introduction -- 2 Nonnegative Compatible Kernel Construction -- 2.1 Symmetric NMF -- 2.2 Nonnegative Interpolatory Basis Function Construction -- 2.3 Nonnegative Compatible Kernel Construction -- 3 Experimental Results -- 3.1 Experiments on ORL Database -- 3.2 Experiments on Pain Expression Database -- 4 Conclusions -- References -- 3D Face Recognition Using Local Features Matching on Sphere Depth Representation -- 1 Introduction -- 1.1 Related Work -- 1.2 Motivation and Approach Overview -- 2 Generation of Sphere Depth Image -- 3 Local Feature Extraction on Sphere Depth Image -- 3.1 Problem in Keypoints Selection -- 3.2 Ranking Keypoints in Keypoints Selection -- 4 Experiment Analysis -- 4.1 Experiment on Ran nking Model -- 4.2 Experiment on Pose Change 3D Faces Images -- 5 Conclusion -- References -- Face Recognition Using Local PCA Filters -- 1 Introduction -- 2 Method -- 2.1 Filter Learning -- 2.2 Feature Coding -- 3 Experiment -- 3.1 Experiment on Feret Database.
3.2 Experiment on LFW Database -- 4 Conclusion -- References -- Block Statistical Features-based Face Verification on Second Generation Identity Card -- 1 Introduction -- 2 Face Representation Based on LGBP -- 3 The Proposed Algorithm -- 3.1 Face Presentation Based on BSF -- 3.2 Energy Check on Gabor Filter -- 3.3 Face Verification Based on BSF -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Experiment with NEU-ID Database -- 5 Conclusion and Discussion -- References -- Towards Practical Face Recognition: A Local Binary Pattern Non Frontal Faces Filtering Approach -- 1 Introduction -- 2 Overall Design Framework -- 2.1 Face Detection -- 2.2 LBP Feature Extraction -- 3 Experiment -- 3.1 Establish Facial Pose Database -- 3.2 Experimental Procedure and Results -- 4 Summary and Prospect -- References -- Metric Learning Based False Positives Filtering for Face Detection -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Experiments on Our Wild Dataset -- 4.3 Experiments on FDDB -- 5 Conclusion -- References -- Face Recognition via Compact Fisher Vector -- 1 Introduction -- 2 Fisher Vector and Related Encoding Strategies -- 2.1 Fisher Kernel and Fisher Vector -- 2.2 Fisher Vector Normalization -- 2.3 Integrating Spatial Information -- 2.4 VLAD and Intra-Normalization -- 3 Compact Fisher Vector Representation -- 3.1 Sparsifying Fisher Vector -- 3.2 Fisher Vector with First Order Statistically Only -- 3.3 Residual Normalization -- 3.4 Tweaking Fisher Vector Representation -- 3.5 Normalization -- 4 Experiments -- 4.1 FERET -- 4.2 Labeled Faces in the Wild (LFW) -- 5 Conclusion -- References -- Nonlinear Metric Learning with Deep Convolutional Neural Network for Face Verification -- 1 Introduction -- 2 Related Work -- 2.1 Similarity Distance Metric Learning. 2.2 Deep Learning and Convolutional Neural Network -- 3 Proposed Method -- 3.1 Nonlinear Metric Learning with Deep ConvNet -- 3.2 Discrimination Similarity Distance Metric with Deep ConvNets -- 3.3 Implementation Details -- 4 Preliminary Experiment -- 4.1 Datasets and Experimental Settings -- 4.2 Comparison with Existing Deep Metric Learning Methods -- 4.3 Comparison with State-of-the-Art Methods -- 5 Conclusion -- References -- Locally Collaborative Representation in SimilarSubspace for Face Recognition -- 1 Introduction -- 2 Sparse Representation and Collaborative Representation -- 2.1 Sparse Representation Based Classification (SRC) -- 2.2 Collaborative Representation Based Classification (CRC) -- 3 Locally Collaborative Representation Based Classification -- 4 Experimental Results -- 5 Conclusion and Discussion -- References -- A DCNN and SDM Based Face Alignment Algorithm -- 1 Introduction -- 2 Coarsely Localize 5 Landmarks Based on DCNN -- 3 Finely Localize 68 Landmarks Based on SDM -- 3.1 Initialization -- 3.2 Finetune Landmarks -- 4 Experiments and Analysis -- 5 Conclusion -- References -- Robust Face Detection Based on Enhanced Local Sensitive Support Vector Machine -- 1 Introduction -- 2 Background: LSSVM -- 2.1 Discussion -- 3 Proposed Method -- 3.1 The Adaboost Based Background Filter -- 3.2 Locality-Sensitive SVM Using Kernel Combination -- 4 Experiments -- 4.1 Evaluation on CMU+MIT Dataset -- 4.2 Evaluation on FDDB Dataset -- 5 Conclusions -- References -- An Efficient Non-negative Matrix Factorization with Its Application to Face Recognition -- 1 Introduction -- 2 Traditional NMF -- 3 The Proposed NMF -- 4 Experimental Results -- 4.1 Comparisons on Convergence -- 4.2 Comparisons on Performance -- 5 Conclusions -- References -- Patch-based Sparse Dictionary Representation for Face Recognition with Single Sample per Person. 1 Introduction -- 2 Related Work -- 3 Our Proposed Method -- 4 Classification -- 5 Experiment -- 6 Conclusion -- References -- Non-negative Sparsity Preserving Projections Algorithm Based Face Recognition -- 1 Introduction -- 2 Algorithm Overview -- 2.1 Locality Preserving Projections -- 2.2 Non-negative Sparsity Preserving Projections -- 3 Experiments -- 3.1 Experiments on RL OR Face Database -- 3.2 Experiments on FERET Face Database -- 3.3 Experimental Analysis -- 4 Conclusions -- References -- WLD-TOP Based Algorithm against Face Spoofing Attacks -- 1 Introduction -- 2 Related Work -- 3 WLD from Three Orthogonal Planes (WLD-TOP) for Image Representation -- 3.1 Modified WLD -- 3.2 WLD-TOP -- 4 Experiments -- 4.1 Data Set -- 4.2 Results on the Intra-database -- 4.3 Results on the Cross-Database -- 4.4 Effectiveness of Each WLD-TOP Plane -- 5 Conclusion -- References -- Heterogeneous Face Recognition Based on Super Resolution Reconstruction by Adaptive Multi-dictionary Learning -- 1 Introduction -- 2 Sketch-to-Photo Transformation -- 3 Super-Resolution of Synthesized Photos -- 3.1 Super Resolution Reconstruction Based on Sparse Representation -- 3.2 Adaptive Multi-dictionary Learning -- 3.3 Training Samples Clustering -- 3.4 Multi-dictionary Learning -- 3.5 Super Resolution Reconstruction Model -- 4 Face Recognition Based on 2DMFA -- 4.1 Marginal Fisher Analysis -- 4.2 Two-Dimensional Marginal Fisher Analysis -- 5 Experiments -- 6 Conclusion -- References -- 3D Face Recognition Fusing Spherical Depth Map and Spherical Texture Map -- 1 Introduction -- 2 Pure Face Extraction -- 3 Recognition Process -- 3.1 Spherical Depth Map and Spherical Texture Map -- 3.2 Sparse Representation -- 4 Experiments -- 4.1 Database -- 4.2 Recognition -- 5 Conclusion -- References -- Privacy Preserving Face Identification in the Cloud through Sparse Representation. 1 Introduction -- 2 Background -- 2.1 Cryptography Primitives -- 2.2 SCiFI Overview -- 3 Privacy Preserving Face Identification -- 3.1 Modified Sparse Representation Based Face Identification -- 3.2 Private Face Identification Protocol -- 4 Experimental Results -- 5 Conclusion and Discussion -- References -- Infrared Face Recognition Based on ODP of Local Binary Patterns -- 1 Introduction -- 2 Discriminative Patterns Based on Local Binary Patterns -- 3 Optimized Discriminative Patterns (ODP) of LBP -- 4 The Multi-classifier Based on Voting Mechanism -- 5 Experiment Results -- 6 Conclusions -- References -- Image Classification Based on Discriminative Dictionary Pair Learning -- 1 Introduction -- 2 Discriminative Dictionary Pair Learning -- 3 Optimization -- 4 Classification Scheme -- 5 Experiments -- 5.1 Face Recognition -- 5.2 Handwritten Digit Recognition -- 6 Conclusion -- References -- Weber Local Gradient Pattern (WLGP) Method for Face Recognition -- Introduction -- 2 Proposed Method -- 2.1 Weber Local Descriptor -- 2.2 Proposed WLGD -- 3 Experimental Results -- 3.1 Experiments on ORL Database -- 3.2 Experiments on Infrared Face Database -- 4 Conclusion -- References -- Multi-task Attribute Joint Feature Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experimental Protocol and Results Analysis -- 4.1 Experiment Results and Discussion -- 4.2 Experiment Results and Discussion -- 5 Conclusion -- References -- Person-specific Face Spoofing Detection for Replay Attack Based on Gaze Estimation -- 1 Introduction -- 2 Proposed Face Spoofing Detection Method -- 2.1 Gaze Estimation -- Gaze Feature Extraction. -- Adaptive Linear Regression with Incremental Learning. -- 2.2 Liveness Judgement -- 3 Experiments -- 3.1 Database -- 3.2 Experimental Results -- Effectiveness of Incremental Learning. Effectiveness of Proposed Face Spoofing Detection Method. |
| Record Nr. | UNISA-996466223703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Biometric Recognition [[electronic resource] ] : 10th Chinese Conference, CCBR 2015, Tianjin, China, November 13-15, 2015, Proceedings / / edited by Jinfeng Yang, Jucheng Yang, Zhenan Sun, Shiguang Shan, Weishi Zheng, Jianjiang Feng
| Biometric Recognition [[electronic resource] ] : 10th Chinese Conference, CCBR 2015, Tianjin, China, November 13-15, 2015, Proceedings / / edited by Jinfeng Yang, Jucheng Yang, Zhenan Sun, Shiguang Shan, Weishi Zheng, Jianjiang Feng |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVIII, 739 p. 377 illus. in color.) |
| Disciplina | 006 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Biometrics (Biology)
Pattern recognition Optical data processing Algorithms Computer graphics Application software Biometrics Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Graphics Information Systems Applications (incl. Internet) |
| ISBN | 3-319-25417-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Face -- Adaptive Quotient Image with 3D Generic Elastic Models for Pose and Illumination Invariant Face Recognition -- 1 Introduction -- 2 Adaptive Quotient Image -- 2.1 Quotient Image -- 2.2 Adaptive Quotient Image -- 3 3D Face Reconstruction by GEM -- 4 Face Recognition via Pose-Specific Metric -- 4.1 Pose Estimation and Alignment -- 4.2 Recognition via Pose-Specific Metric -- 5 Experiments and Results -- 5.1 Results -- 6 Conclusion -- References -- Low Rank Analysis of Eye Image Sequence - A Novel Basis for Face Liveness Detection -- 1 Introduction -- 2 Motivations -- 3 Proposed Method -- 3.1 Sample Noising Model -- 3.2 Solutions of the Noising Model -- 3.3 Basis for Classification -- 3.4 The Proposed Algorithm -- 4 Experiments -- 5 Conclusion -- References -- Non-negative Compatible Kernel Construction for Face Recognition -- 1 Introduction -- 2 Nonnegative Compatible Kernel Construction -- 2.1 Symmetric NMF -- 2.2 Nonnegative Interpolatory Basis Function Construction -- 2.3 Nonnegative Compatible Kernel Construction -- 3 Experimental Results -- 3.1 Experiments on ORL Database -- 3.2 Experiments on Pain Expression Database -- 4 Conclusions -- References -- 3D Face Recognition Using Local Features Matching on Sphere Depth Representation -- 1 Introduction -- 1.1 Related Work -- 1.2 Motivation and Approach Overview -- 2 Generation of Sphere Depth Image -- 3 Local Feature Extraction on Sphere Depth Image -- 3.1 Problem in Keypoints Selection -- 3.2 Ranking Keypoints in Keypoints Selection -- 4 Experiment Analysis -- 4.1 Experiment on Ran nking Model -- 4.2 Experiment on Pose Change 3D Faces Images -- 5 Conclusion -- References -- Face Recognition Using Local PCA Filters -- 1 Introduction -- 2 Method -- 2.1 Filter Learning -- 2.2 Feature Coding -- 3 Experiment -- 3.1 Experiment on Feret Database.
3.2 Experiment on LFW Database -- 4 Conclusion -- References -- Block Statistical Features-based Face Verification on Second Generation Identity Card -- 1 Introduction -- 2 Face Representation Based on LGBP -- 3 The Proposed Algorithm -- 3.1 Face Presentation Based on BSF -- 3.2 Energy Check on Gabor Filter -- 3.3 Face Verification Based on BSF -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Experiment with NEU-ID Database -- 5 Conclusion and Discussion -- References -- Towards Practical Face Recognition: A Local Binary Pattern Non Frontal Faces Filtering Approach -- 1 Introduction -- 2 Overall Design Framework -- 2.1 Face Detection -- 2.2 LBP Feature Extraction -- 3 Experiment -- 3.1 Establish Facial Pose Database -- 3.2 Experimental Procedure and Results -- 4 Summary and Prospect -- References -- Metric Learning Based False Positives Filtering for Face Detection -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Experiments on Our Wild Dataset -- 4.3 Experiments on FDDB -- 5 Conclusion -- References -- Face Recognition via Compact Fisher Vector -- 1 Introduction -- 2 Fisher Vector and Related Encoding Strategies -- 2.1 Fisher Kernel and Fisher Vector -- 2.2 Fisher Vector Normalization -- 2.3 Integrating Spatial Information -- 2.4 VLAD and Intra-Normalization -- 3 Compact Fisher Vector Representation -- 3.1 Sparsifying Fisher Vector -- 3.2 Fisher Vector with First Order Statistically Only -- 3.3 Residual Normalization -- 3.4 Tweaking Fisher Vector Representation -- 3.5 Normalization -- 4 Experiments -- 4.1 FERET -- 4.2 Labeled Faces in the Wild (LFW) -- 5 Conclusion -- References -- Nonlinear Metric Learning with Deep Convolutional Neural Network for Face Verification -- 1 Introduction -- 2 Related Work -- 2.1 Similarity Distance Metric Learning. 2.2 Deep Learning and Convolutional Neural Network -- 3 Proposed Method -- 3.1 Nonlinear Metric Learning with Deep ConvNet -- 3.2 Discrimination Similarity Distance Metric with Deep ConvNets -- 3.3 Implementation Details -- 4 Preliminary Experiment -- 4.1 Datasets and Experimental Settings -- 4.2 Comparison with Existing Deep Metric Learning Methods -- 4.3 Comparison with State-of-the-Art Methods -- 5 Conclusion -- References -- Locally Collaborative Representation in SimilarSubspace for Face Recognition -- 1 Introduction -- 2 Sparse Representation and Collaborative Representation -- 2.1 Sparse Representation Based Classification (SRC) -- 2.2 Collaborative Representation Based Classification (CRC) -- 3 Locally Collaborative Representation Based Classification -- 4 Experimental Results -- 5 Conclusion and Discussion -- References -- A DCNN and SDM Based Face Alignment Algorithm -- 1 Introduction -- 2 Coarsely Localize 5 Landmarks Based on DCNN -- 3 Finely Localize 68 Landmarks Based on SDM -- 3.1 Initialization -- 3.2 Finetune Landmarks -- 4 Experiments and Analysis -- 5 Conclusion -- References -- Robust Face Detection Based on Enhanced Local Sensitive Support Vector Machine -- 1 Introduction -- 2 Background: LSSVM -- 2.1 Discussion -- 3 Proposed Method -- 3.1 The Adaboost Based Background Filter -- 3.2 Locality-Sensitive SVM Using Kernel Combination -- 4 Experiments -- 4.1 Evaluation on CMU+MIT Dataset -- 4.2 Evaluation on FDDB Dataset -- 5 Conclusions -- References -- An Efficient Non-negative Matrix Factorization with Its Application to Face Recognition -- 1 Introduction -- 2 Traditional NMF -- 3 The Proposed NMF -- 4 Experimental Results -- 4.1 Comparisons on Convergence -- 4.2 Comparisons on Performance -- 5 Conclusions -- References -- Patch-based Sparse Dictionary Representation for Face Recognition with Single Sample per Person. 1 Introduction -- 2 Related Work -- 3 Our Proposed Method -- 4 Classification -- 5 Experiment -- 6 Conclusion -- References -- Non-negative Sparsity Preserving Projections Algorithm Based Face Recognition -- 1 Introduction -- 2 Algorithm Overview -- 2.1 Locality Preserving Projections -- 2.2 Non-negative Sparsity Preserving Projections -- 3 Experiments -- 3.1 Experiments on RL OR Face Database -- 3.2 Experiments on FERET Face Database -- 3.3 Experimental Analysis -- 4 Conclusions -- References -- WLD-TOP Based Algorithm against Face Spoofing Attacks -- 1 Introduction -- 2 Related Work -- 3 WLD from Three Orthogonal Planes (WLD-TOP) for Image Representation -- 3.1 Modified WLD -- 3.2 WLD-TOP -- 4 Experiments -- 4.1 Data Set -- 4.2 Results on the Intra-database -- 4.3 Results on the Cross-Database -- 4.4 Effectiveness of Each WLD-TOP Plane -- 5 Conclusion -- References -- Heterogeneous Face Recognition Based on Super Resolution Reconstruction by Adaptive Multi-dictionary Learning -- 1 Introduction -- 2 Sketch-to-Photo Transformation -- 3 Super-Resolution of Synthesized Photos -- 3.1 Super Resolution Reconstruction Based on Sparse Representation -- 3.2 Adaptive Multi-dictionary Learning -- 3.3 Training Samples Clustering -- 3.4 Multi-dictionary Learning -- 3.5 Super Resolution Reconstruction Model -- 4 Face Recognition Based on 2DMFA -- 4.1 Marginal Fisher Analysis -- 4.2 Two-Dimensional Marginal Fisher Analysis -- 5 Experiments -- 6 Conclusion -- References -- 3D Face Recognition Fusing Spherical Depth Map and Spherical Texture Map -- 1 Introduction -- 2 Pure Face Extraction -- 3 Recognition Process -- 3.1 Spherical Depth Map and Spherical Texture Map -- 3.2 Sparse Representation -- 4 Experiments -- 4.1 Database -- 4.2 Recognition -- 5 Conclusion -- References -- Privacy Preserving Face Identification in the Cloud through Sparse Representation. 1 Introduction -- 2 Background -- 2.1 Cryptography Primitives -- 2.2 SCiFI Overview -- 3 Privacy Preserving Face Identification -- 3.1 Modified Sparse Representation Based Face Identification -- 3.2 Private Face Identification Protocol -- 4 Experimental Results -- 5 Conclusion and Discussion -- References -- Infrared Face Recognition Based on ODP of Local Binary Patterns -- 1 Introduction -- 2 Discriminative Patterns Based on Local Binary Patterns -- 3 Optimized Discriminative Patterns (ODP) of LBP -- 4 The Multi-classifier Based on Voting Mechanism -- 5 Experiment Results -- 6 Conclusions -- References -- Image Classification Based on Discriminative Dictionary Pair Learning -- 1 Introduction -- 2 Discriminative Dictionary Pair Learning -- 3 Optimization -- 4 Classification Scheme -- 5 Experiments -- 5.1 Face Recognition -- 5.2 Handwritten Digit Recognition -- 6 Conclusion -- References -- Weber Local Gradient Pattern (WLGP) Method for Face Recognition -- Introduction -- 2 Proposed Method -- 2.1 Weber Local Descriptor -- 2.2 Proposed WLGD -- 3 Experimental Results -- 3.1 Experiments on ORL Database -- 3.2 Experiments on Infrared Face Database -- 4 Conclusion -- References -- Multi-task Attribute Joint Feature Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experimental Protocol and Results Analysis -- 4.1 Experiment Results and Discussion -- 4.2 Experiment Results and Discussion -- 5 Conclusion -- References -- Person-specific Face Spoofing Detection for Replay Attack Based on Gaze Estimation -- 1 Introduction -- 2 Proposed Face Spoofing Detection Method -- 2.1 Gaze Estimation -- Gaze Feature Extraction. -- Adaptive Linear Regression with Incremental Learning. -- 2.2 Liveness Judgement -- 3 Experiments -- 3.1 Database -- 3.2 Experimental Results -- Effectiveness of Incremental Learning. Effectiveness of Proposed Face Spoofing Detection Method. |
| Record Nr. | UNINA-9910483127703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
