Computer Vision : Detection, Recognition and Reconstruction /
| Corporate Author: | |
|---|---|
| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
|
| Edition: | 1st ed. 2010. |
| Series: | Studies in Computational Intelligence,
285 |
| Subjects: |
Table of Contents:
- Is Human Vision Any Good?
- Knowing a Good Feature When You See It: Ground Truth and Methodology to Evaluate Local Features for Recognition
- Dynamic Graph Cuts and Their Applications in Computer Vision
- Discriminative Graphical Models for Context-Based Classification
- From the Subspace Methods to the Mutual Subspace Method
- What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization
- Semantic Texton Forests
- Multi-view Object Categorization and Pose Estimation
- A Vision-Based Remote Control
- Multi-view Multi-object Detection and Tracking
- Shape from Photographs: A Multi-view Stereo Pipeline
- Practical 3D Reconstruction Based on Photometric Stereo.