Computer Vision and Machine Learning with RGB-D Sensors

316 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Advances in Computer Vision and Pattern Recognition
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) Maschinelles Sehen, Bildverstehen
• ISBN: 9783319086507
• Sprache: Englisch
• Erscheinungsdatum: 05.08.2014
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing
• Herausgegeben von: Ling Shao, Jungong Han, Pushmeet Kohli, Zhengyou Zhang