Advances in Computer Vision and Pattern Recognition

Shao, Ling; Han, Jungong; Kohli, Pushmeet; Zhang, Zhengyou

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 gesture recognition system.

Details

Published by: Springer

Publication Date: 2014-08-05

Format: Hardcover

ISBN-13: 9783319086507

DOI: 10.1007/978-3-319-08651-4

Dimensions: 235cm x155cm

Pages: 316