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2014 International Conference on 3D Imaging (IC3D) : proceedings, 9-10 December 2014 Liège, Belgium / / technically co-sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society
| 2014 International Conference on 3D Imaging (IC3D) : proceedings, 9-10 December 2014 Liège, Belgium / / technically co-sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014 |
| Descrizione fisica | 1 online resource (109 pages) |
| Disciplina | 006.693 |
| Soggetto topico |
Three-dimensional imaging
Three-dimensional imaging - Data processing |
| ISBN | 1-4799-8023-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996279260403316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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2014 International Conference on 3D Imaging (IC3D) : proceedings, 9-10 December 2014 Liège, Belgium / / technically co-sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society
| 2014 International Conference on 3D Imaging (IC3D) : proceedings, 9-10 December 2014 Liège, Belgium / / technically co-sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014 |
| Descrizione fisica | 1 online resource (109 pages) |
| Disciplina | 006.693 |
| Soggetto topico |
Three-dimensional imaging
Three-dimensional imaging - Data processing |
| ISBN | 1-4799-8023-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910132686203321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3-D computer graphics : a mathematical introduction with OpenGL / Samuel R. Buss
| 3-D computer graphics : a mathematical introduction with OpenGL / Samuel R. Buss |
| Autore | Buss, Samuel R. |
| Pubbl/distr/stampa | New York : Cambridge University Press, 2003 |
| Descrizione fisica | xvi, 371 p. : ill. ; 24 cm |
| Disciplina | 006.693 |
| Soggetto topico |
Computer graphics
Three-dimensional display systems |
| ISBN | 0521821037 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991001855329707536 |
Buss, Samuel R.
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| New York : Cambridge University Press, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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3D Imaging of the Environment : Mapping and Monitoring / / edited by John Meneely
| 3D Imaging of the Environment : Mapping and Monitoring / / edited by John Meneely |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , 2023 |
| Descrizione fisica | 1 online resource (246 pages) |
| Disciplina | 006.693 |
| Soggetto topico |
Three-dimensional imaging
Remote sensing |
| ISBN | 0-429-32757-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Digital Documentation and Digital Innovation in Practice. 2. Mapping the Urban Environment with a Handheld Mobile LiDAR System-A Case Study from the UrbanARK Project. 3. Using Drones to Map and Visualise Glacial Landscapes. 4. Laser Scanning of a Complex Cave System during Multiple Campaigns. 5. Digitizing Giant Skeletons with Handheld Scanning Technology for Research, Digital Reconstruction, and 3D Printing. 6. Mapping, Monitoring, and Visualising Stone Decay in the Urban Environment. 7. Unpiloted Airborne Laser Scanning of a Mixed Forest. 8. Digital Mapping and Recording of Inishtrahull Island and Its Built Heritage in 24 Hours. 9. CHERISH: Development of a Toolkit for the 3D Documentation and Analysis of the Marine and Coastal Historic Environment. 10. 3D in the Construction of a Full-Scale Replica of St. Patrick's Cross, Downpatrick. 11. Thermography Using Unmanned Aerial Vehicles. 12. Reconstruction of the Ballintaggart Court Tomb Using 3D Scanning, 3D Printing, and Augmented Reality (AR). 13. Terrestrial Laser Scanning for Monitoring and Modelling Coastal Dune Morphodynamics. 14. Creating a Virtual Reality Experience of Fingal's Cave, Isle of Staffa, Scotland. |
| Record Nr. | UNINA-9910772089803321 |
| Boca Raton : , : CRC Press, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3D imaging, analysis and applications / / edited by Yonghuai Liu, 3 others
| 3D imaging, analysis and applications / / edited by Yonghuai Liu, 3 others |
| Edizione | [2nd ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XII, 736 p. 266 illus., 220 illus. in color.) |
| Disciplina | 006.693 |
| Soggetto topico |
Image Processing and Computer Vision
Optical data processing Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-030-44070-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Part I 3D Shape Acquisition, Representation and Visualization -- Passive 3D Imaging -- Active-triangulation 3D Imaging Systems for Industrial Inspection -- Active Time-of-Flight 3D Imaging Systems for Medium-range Applications -- Consumer-grade RGB-D cameras -- 3D Data Representation, Storage and Processing -- Part II: 3D Shape Analysis and Inference -- 3D Local Descriptors -- from Hand-crafted to Learned -- 3D Shape Registration -- 3D Shape Matching for Retrieval and Recognition -- 3D Morphable Models: the Face, Ear and Head -- Deep Learning on 3D Data -- Part III: 3D Imaging Applications -- 3D Face Recognition -- 3D Digitization of Cultural Heritage -- 3D Phenotyping of Plants -- Index. |
| Record Nr. | UNINA-9910427688103321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3D imaging, analysis and applications / / edited by Yonghuai Liu, 3 others
| 3D imaging, analysis and applications / / edited by Yonghuai Liu, 3 others |
| Edizione | [2nd ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XII, 736 p. 266 illus., 220 illus. in color.) |
| Disciplina | 006.693 |
| Soggetto topico |
Image Processing and Computer Vision
Optical data processing Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-030-44070-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Part I 3D Shape Acquisition, Representation and Visualization -- Passive 3D Imaging -- Active-triangulation 3D Imaging Systems for Industrial Inspection -- Active Time-of-Flight 3D Imaging Systems for Medium-range Applications -- Consumer-grade RGB-D cameras -- 3D Data Representation, Storage and Processing -- Part II: 3D Shape Analysis and Inference -- 3D Local Descriptors -- from Hand-crafted to Learned -- 3D Shape Registration -- 3D Shape Matching for Retrieval and Recognition -- 3D Morphable Models: the Face, Ear and Head -- Deep Learning on 3D Data -- Part III: 3D Imaging Applications -- 3D Face Recognition -- 3D Digitization of Cultural Heritage -- 3D Phenotyping of Plants -- Index. |
| Record Nr. | UNISA-996465356103316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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3D imaging, multidimensional signal processing and deep learning : 3D images, graphics and information technologies. Volume 1 / / editors: Lakhmi C. Jain, [and three others]
| 3D imaging, multidimensional signal processing and deep learning : 3D images, graphics and information technologies. Volume 1 / / editors: Lakhmi C. Jain, [and three others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (262 pages) |
| Disciplina | 006.693 |
| Collana | Smart innovation, systems, and technologies |
| Soggetto topico |
Three-dimensional imaging
Deep learning (Machine learning) Signal processing |
| ISBN | 981-19-2448-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- 1 Color Restoration of RGB-NIR Images in Low-Light Environment Using CycleGAN -- 1.1 Introduction -- 1.2 CycleGAN Structure -- 1.2.1 The Overall Structure -- 1.3 Objective Function -- 1.3.1 The Basic Objective Function of GANs -- 1.3.2 Objective Function of Cyclic Transformation Consistency -- 1.3.3 Total Objective Function of CycleGAN -- 1.4 Experiment and Evaluation -- 1.4.1 Image Data Set in Low-Light Environment -- 1.4.2 Training Method -- 1.5 Quantitative and Qualitative Evaluation -- 1.6 Conclusion and Discussion -- References -- 2 Dynamic Grey Wolf Optimization Algorithm Based on Quasi-Opposition Learning -- 2.1 Introduction -- 2.2 Grey Wolf Optimization Algorithm -- 2.3 Improved Grey Wolf Algorithm -- 2.3.1 Opposition-Based Learning (OBL) -- 2.3.2 Dynamic Search Strategy -- 2.3.3 Improved the Grey Wolf Algorithm to Optimize the Process -- 2.4 Numerical Experiment and Result Analysis -- 2.4.1 Influence of Improved Strategy on GWO -- 2.4.2 Compared with Other Swarm Intelligence Optimization Algorithms -- 2.5 Conclusion -- References -- 3 Image Recognition Methods Based on Deep Learning -- 3.1 Introduction -- 3.1.1 Overview of Image Recognition -- 3.1.2 Preprocessing in Image Recognition -- 3.1.3 Feature Extraction in Image Recognition -- 3.2 Deep Learning Model for Image Recognition -- 3.2.1 Feedforward Neural Network (FNN) -- 3.2.2 Convolutional Neural Network (CNN) -- 3.2.3 Recursive Neural Network (RNN) -- 3.2.4 U-Net Convolutional Neural Network -- 3.2.5 Long Short-Term Memory Network -- 3.2.6 Auto-Encoder Neural Network -- 3.2.7 Generative Adversarial Network (GAN) -- 3.2.8 Deep Belief Network (DBN) -- 3.3 The Application of Deep Learning in Image Recognition -- 3.3.1 Face Recognition -- 3.3.2 Traffic Image Recognition -- 3.3.3 Medical Image Recognition.
3.4 Train a Convolutional Neural Network from a Small Data Set -- 3.4.1 Data Sorting and Network Building -- 3.4.2 Data Processing and Reading -- 3.4.3 Image Processing -- 3.5 Conclusion -- References -- 4 Longitudinal Structure Analysis and Segmentation Algorithm of Dongba Document -- 4.1 Overview of Dongba Hieroglyphics -- 4.2 Structure of Dongba Document Image -- 4.3 Preprocessing of Dongba Documents -- 4.4 Automatic Segmentation and Recognition of Columns -- 4.5 Experiment -- 4.6 Conclusion -- References -- 5 Overview of SAR Image Change Detection Based on Segmentation -- 5.1 Introduction -- 5.2 Traditional Image Change Detection Methods -- 5.2.1 Image Difference Method -- 5.2.2 Image Ratio Method -- 5.2.3 Correlation Coefficient Method -- 5.2.4 Image Regression Method -- 5.3 SAR Image Change Detection Method Based on Segmentation -- 5.4 Simulation Results -- 5.5 Summary and Expectation -- References -- 6 Full-Focus Imaging Detection of Ship Ultrasonic-Phased Array Based on Directivity Function -- 6.1 Introduction -- 6.2 Method -- 6.2.1 Principle Analysis -- 6.2.2 Full-Focusing Algorithm in Frequency-Wave Number Domain -- 6.3 Result Analysis -- 6.3.1 System Introduction -- 6.3.2 Test Experiment -- 6.4 Conclusion -- References -- 7 A Novel Space Division Rough Set Model for Feature Selection -- 7.1 Introduction -- 7.2 Related Work -- 7.3 Our Approach -- 7.4 Experiments -- 7.5 Conclusion -- References -- 8 Development of Mobile Food Recognition System Based on Deep Convolutional Network -- 8.1 Introduction -- 8.2 Related Work -- 8.2.1 Food Recognition Models -- 8.2.2 Mobile Food Recognition System -- 8.3 Methods -- 8.3.1 Deep Convolutional Neural Network -- 8.3.2 Training Food Recognition Models -- 8.3.3 Deploying the Recognition Application on Android Side -- 8.4 Experiment Results -- 8.4.1 "ChineseFood80" Dataset. 8.4.2 Train and Select Food Recognition Models -- 8.4.3 Food Recognition Application on Android Device -- 8.5 Conclusion -- References -- 9 Water Environmental Quality Assessment and Effect Prediction Based on Artificial Neural Network -- 9.1 Introduction of Artificial Neural Network Model for Water Environmental Quality Assessment -- 9.2 Prediction Model Based on Levenberg-Marquardt Optimization Algorithm -- 9.2.1 Time Series -- 9.2.2 Algorithm of Prediction Model -- 9.2.3 Defining the Grid Structure -- 9.2.4 Sample Selection and Training Methods -- 9.3 Predictive Analysis -- 9.4 Conclusion -- References -- 10 Network Intrusion Detection Based on Apriori-Kmeans Algorithm -- 10.1 Introduction -- 10.2 Research Status -- 10.3 Apriori-Kmeans Algorithm -- 10.4 Intrusion Detection Model Based on Apriori-Kmeans Algorithm -- 10.5 Simulation Experiment -- 10.6 Summary -- References -- 11 A Fast Heuristic k-means Algorithm Based on Nearest Neighbor Information -- 11.1 Introduction -- 11.1.1 Optimization of the Selection of Initial Centroids -- 11.1.2 Accelerate Approximate K-means -- 11.1.3 Accelerate Exact K-means -- 11.1.4 Our Contribution -- 11.2 A Heuristic K-means Algorithm -- 11.2.1 Narrow the Search Space of Sample Points -- 11.2.2 Reduce the Number of Sample Points for Reallocation -- 11.2.3 Algorithm Flow Chart -- 11.3 Experiments -- 11.4 Conclusion -- References -- 12 Global Analysis of Discrete SIR and SIS Systems -- 12.1 Introduction -- 12.2 Continuous Model -- 12.3 Discretization of Continuous Models -- 12.4 The Second Discrete Model -- 12.5 Stability Analysis -- 12.6 Globally Asymptotically Stable -- 12.7 Conclusion -- References -- 13 Image-Based Physics Rendering for 3D Surface Reconstruction: A Survey -- 13.1 Introduction -- 13.2 Research Status of 3D Reconstruction Based on Image -- 13.3 Image-Based 3D Surface Reconstruction. 13.3.1 Laser Scanning Method -- 13.3.2 Time-Of-Flight Method -- 13.3.3 Structured Light Method -- 13.3.4 Shape from Shading Method -- 13.3.5 Shape from Silhouettes Method -- 13.3.6 Shape-from-Motion Method -- 13.3.7 Shape-from-Texture Method -- 13.3.8 Shape-from-Focus Method -- 13.3.9 Photometric Stereo -- 13.4 Summary -- References -- 14 Insulator Detection Study Based on Improved Faster-RCNN -- 14.1 Introduction -- 14.2 Sample Expansion -- 14.3 Insulator Identification and Positioning -- 14.3.1 Faster RCNN Detection Principle -- 14.3.2 Improved RPN -- 14.3.3 Residual Networks (ResNet) -- 14.3.4 Multi-Scale Training -- 14.3.5 Comparison of Different Detection Methods -- 14.4 Detection of Defective Insulators -- 14.5 Improved Faster-RCNN -- 14.6 Experimental Verifications -- 14.6.1 Conduct a Comparative Experiment -- 14.6.2 Compare Experimental Results -- 14.7 Summary -- References -- 15 Citrus Positioning Method Based on Camera and Lidar Data Fusion -- 15.1 Introduction -- 15.2 Method -- 15.2.1 The Citrus Positioning Algorithm -- 15.2.2 Preliminary Positioning of Pixel Coordinates of Citrus -- 15.2.3 Camera and Lidar Joint Calibration -- 15.2.4 Camera and Lidar Data Fusion -- 15.2.5 Conversion of Citrus Pixel Coordinates to Three-Dimensional Space Coordinates -- 15.3 Experiments -- 15.3.1 Environment of System -- 15.3.2 Detection Effects of Citrus -- 15.3.3 The Results of Camera Internal Parameter Calibration -- 15.3.4 The Results of Camera and Lidar Joint Calibration -- 15.3.5 The Results of Citrus Positioning -- 15.4 Conclusion -- References -- 16 Comparative Analysis of Automatic Poetry Generation Systems Based on Different Recurrent Neural Networks -- 16.1 Introduction -- 16.2 Problem Formation -- 16.3 The Invariant Testbed -- 16.4 The Internal Logic of RNN Modules -- 16.5 Results -- 16.6 Analysis and Expectation -- References. 17 Grid False Data Intrusion Detection Method Based on Edge Computing and Federated Learning -- 17.1 Introduction -- 17.2 Research Status -- 17.3 Principles of False Data Injection Attacks -- 17.4 Design of Intrusion Detection Model Based on Edge Computing and Federated Learning -- 17.4.1 Edge Computing -- 17.4.2 Federated Learning -- 17.4.3 Framework Based on Edge Computing and Federated Learning -- 17.4.4 CNN-LSTM Joint Detection Model -- 17.5 Case Analysis -- 17.6 Summary -- References -- 18 Innovative Design of Traditional Arts and Crafts Based on 3D Digital Technology -- 18.1 Introduction -- 18.2 Application Steps -- 18.2.1 Preparation Period -- 18.2.2 Design Period -- 18.2.3 Optimization Period -- 18.3 Application Direction -- 18.3.1 Ceramic -- 18.4 Conclusion -- References -- 19 Research on the Simulation of Informationized Psychological Sand Table Based on 3D Scene -- 19.1 Introduction -- 19.2 Method -- 19.2.1 Design and Application -- 19.2.2 Hardware Design -- 19.2.3 Infrared Scanning Design -- 19.2.4 Software Design -- 19.3 Result Analysis -- 19.4 Conclusion -- References -- 20 Research on Graphic Design of Digital Media Art Based on Computer Aided Algorithm -- 20.1 Introduction -- 20.2 Method -- 20.2.1 Digital Media Art Graphic Design Content -- 20.2.2 Shape Interpolation -- 20.3 Result Analysis -- 20.4 Conclusion -- References -- 21 Research on Visual Communication of Graphic Design Based on Machine Vision -- 21.1 Introduction -- 21.2 Method -- 21.2.1 Design Process -- 21.2.2 Visual Analysis -- 21.3 Result Analysis -- 21.4 Conclusion -- References -- 22 Research on the Adaptive Matching Mechanism of Graphic Design Elements Based on Visual Communication Technology -- 22.1 Introduction -- 22.2 Method -- 22.2.1 Hardware Design -- 22.2.2 Software Design -- 22.3 Result Analysis -- 22.4 Conclusion -- References. 23 Design of Intelligent Recognition English Translation Model Based on Improved Machine Translation Algorithm. |
| Record Nr. | UNINA-9910735392003321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3D Immersive and Interactive Learning [[electronic resource] /] / edited by Yiyu Cai
| 3D Immersive and Interactive Learning [[electronic resource] /] / edited by Yiyu Cai |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (128 p.) |
| Disciplina | 006.693 |
| Soggetto topico |
Educational technology
Signal processing Image processing Speech processing systems User interfaces (Computer systems) Educational Technology Signal, Image and Speech Processing User Interfaces and Human Computer Interaction |
| ISBN |
1-299-40867-2
981-4021-90-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 3D Immersive & Interactive Learning -- Use of Virtual Reality in Teaching and Learning Molecular Biology -- daVinci Lab @ River Valley High School -- 3D Education Developmental Process in National Junior College: A Case Study -- Adapting 3D System for Learning Gains in the Lower Secondary Normal (Technical) Stream -- Effects of Virtual Reality Elements on Spatial Visualisation Skills of Secondary 3 Students in Singapore -- 3D Sabbatical and STEM Learning -- 3D Virtual Pink Dolphins for Special Needs Education. |
| Record Nr. | UNINA-9910438337003321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3D mesh processing and character animation : with examples using OpenGL, OpenMesh and Assimp / / Ramakrishnan Mukundan
| 3D mesh processing and character animation : with examples using OpenGL, OpenMesh and Assimp / / Ramakrishnan Mukundan |
| Autore | Mukundan Ramakrishnan |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (209 pages) |
| Disciplina | 006.693 |
| Soggetto topico |
Three-dimensional modeling
Computer animation Visualització tridimensional Animació per ordinador |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030813543
9783030813536 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910552734603321 |
|
Mukundan Ramakrishnan
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3D mesh processing and character animation : with examples using OpenGL, OpenMesh and Assimp / / Ramakrishnan Mukundan
| 3D mesh processing and character animation : with examples using OpenGL, OpenMesh and Assimp / / Ramakrishnan Mukundan |
| Autore | Mukundan Ramakrishnan |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (209 pages) |
| Disciplina | 006.693 |
| Soggetto topico |
Three-dimensional modeling
Computer animation Visualització tridimensional Animació per ordinador |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030813543
9783030813536 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464450903316 |
|
Mukundan Ramakrishnan
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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