Computer Vision and Machine Learning with RGB-D Sensors
Springer International Publishing AG, 2014
66,50 €On orderDelivery: 2-3 weeks
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-13
- 9783319086507
- ISBN-10
- 3319086502
- Publisher
- Springer International Publishing AG
- Year
- 2014
- Publication date
- 2014-08-05
- Pages
- 316
- Dimensions
- 166x241x24
- Weight
- 672