Machine Learning for Computer Vision /
| Corporate Author: | |
|---|---|
| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Edition: | 1st ed. 2013. |
| Series: | Studies in Computational Intelligence,
411 |
| Subjects: |
Table of Contents:
- Throwing Down the Visual Intelligence Gauntlet
- Actionable Information in Vision
- Learning Binary Hash Codes for Large-Scale Image Search
- Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition
- Real-Time Human Pose Recognition in Parts from Single Depth Images
- Scale-Invariant Vote-based 3D Recognition and Registration from Point Clouds
- Multiple Classifier Boosting and Tree-Structured Classifiers
- Simultaneous detection and tracking with multiple cameras
- Applications of Computer Vision to Vehicles: an extreme test.