Computer Vision and Machine Learning with RGB-D Sensors

By Ling Shao

Book Overview

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.

• Format: Hardcover
• Language: English
• ISBN: 3319086502
• ISBN13: 9783319086507
• Release Date: August 2014
• Publisher: Springer
• Length: 316 Pages
• Weight: 1.40 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"