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.
- ISBN:
- 9783319086507
- 9783319086507
-
Category:
- Computer vision
- Format:
- Hardback
- Publication Date:
-
05-08-2014
- Publisher:
- Springer International Publishing AG
- Country of origin:
- Switzerland
- Pages:
- 316
- Dimensions (mm):
- 235x155x19mm
- Weight:
- 6.75kg
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