Computer Vision and Machine Learning with RGB D Sensors is popular PDF and ePub book, written by Ling Shao in 2014-07-14, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Computer Vision and Machine Learning with RGB D Sensors can be Read Online from any device for your convenience.
Computer Vision and Machine Learning with RGB D Sensors Book PDF Summary
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.
Detail Book of Computer Vision and Machine Learning with RGB D Sensors PDF
- Author : Ling Shao
- Release : 14 July 2014
- Publisher : Springer
- ISBN : 9783319086514
- Genre : Computers
- Total Page : 313 pages
- Language : English
- PDF File Size : 14,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Computer Vision and Machine Learning with RGB D Sensors by Ling Shao, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.
