You might also like

More about Computer Vision and Machine Learning with RGB-D Sensors

• Book details
• Synopsis
• Trending among others

You get 154 loyalty points

Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Computer Vision and Machine Learning with RGB-D Sensors
• Author: Ling Shao, Jungong Han, Pushmeet Kohli, Zhengyou Zhang
• Language: English
• Binding: Hardback
• Number of pages: 316
• EAN: 9783319086507
• ISBN: 3319086502
• ID: 02746206
• Publisher: Springer International Publishing AG
• Weight: 682 g
• Dimensions: 166 × 241 × 24 mm
• Date of publishing: 15. July 2014

Trending among others

---

---

---