| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
|
| Descrizione fisica |
1 online resource (313 p.)
|
| Disciplina |
006.37
|
| Collana |
Advances in Computer Vision and Pattern Recognition
|
| Soggetto topico |
Optical data processing
Artificial intelligence
User interfaces (Computer systems)
Image Processing and Computer Vision
Artificial Intelligence
User Interfaces and Human Computer Interaction
|
| ISBN |
3-319-08651-0
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Part I: Surveys -- 3D Depth Cameras in Vision: Benefits and Limitations of the Hardware -- A State-of-the-Art Report on Multiple RGB-D Sensor Research and on Publicly Available RGB-D Datasets -- Part II: Reconstruction, Mapping and Synthesis -- Calibration Between Depth and Color Sensors for Commodity Depth Cameras -- Depth Map Denoising via CDT-Based Joint Bilateral Filter -- Human Performance Capture Using Multiple Handheld Kinects -- Human Centered 3D Home Applications via Low-Cost RGBD Cameras -- Matching of 3D Objects Based on 3D Curves -- Using Sparse Optical Flow for Two-Phase Gas Flow Capturing with Multiple Kinects -- Part III: Detection, Segmentation and Tracking -- RGB-D Sensor-Based Computer Vision Assistive Technology for Visually Impaired Persons -- RGB-D Human Identification and Tracking in a Smart Environment -- Part IV: Learning-Based Recognition -- Feature Descriptors for Depth-Based Hand Gesture Recognition -- Hand Parsing and Gesture Recognition with a Commodity Depth Camera -- Learning Fast Hand Pose Recognition -- Real time Hand-Gesture Recognition Using RGB-D Sensor.
|
| Record Nr. | UNINA-9910298987103321 |
Info
Computer Vision and Machine Learning with RGB-D Sensors / / edited by Ling Shao, Jungong Han, Pushmeet Kohli, Zhengyou Zhang