Author :
Publisher : Springer
Total Pages : 316
This book presents an interdisciplinary selection of cutting-edge research on RGB-D based computer vision. Features: discusses the calibration of color and depth cameras, the reduction of noise on depth maps and methods for capturing human performance in 3D; reviews a selection of applications which use RGB-D information to reconstruct human figures, evaluate energy consumption and obtain accurate action classification; presents an approach for 3D object retrieval and for the reconstruction of gas flow from multiple Kinect cameras; describes an RGB-D computer vision system designed to assist the visually impaired and another for smart-environment sensing to assist elderly and disabled people; examines the effective features that characterize static hand poses and introduces a unified framework to enforce both temporal and spatial constraints for hand parsing; proposes a new classifier architecture for real-time hand pose recognition and a novel hand segmentation and gestur e recognition system.
Download Computer Vision and Machine Learning with RGB-D Sensors Advances in Computer Vision and Pattern Recognition Here
Get Computer Vision and Machine Learning with RGB-D Sensors Advances in Computer Vision and Pattern Recognition PDF Here
Download Computer Vision and Machine Learning with RGB-D Sensors Advances in Computer Vision and Pattern Recognition PDF
Download Computer Vision and Machine Learning with RGB-D Sensors Advances in Computer Vision and Pattern Recognition Books
Get This Computer Vision and Machine Learning with RGB-D Sensors Advances in Computer Vision and Pattern Recognition Book Free
Download Computer Vision and Machine Learning with RGB-D Sensors Advances in Computer Vision and Pattern Recognition Books PDF
Get this Computer Vision and Machine Learning with RGB-D Sensors Advances in Computer Vision and Pattern Recognition PDF Download Free
No comments:
Post a Comment