Computer Vision Detection, Recognition and Reconstruction /
Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Sum...
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| Other Authors: | , , |
| Format: | Electronic |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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| Series: | Studies in Computational Intelligence,
285 |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-12848-6 |
Table of Contents:
- Part 1 1 Is Human Vision Any Good?
- Part 2 Knowing a Good Feature When You See it: Ground Truth and Methodology to Evaluate Local Features For Recognition
- Part 3 Dynamic Graph Cuts and their Applications in Computer Vision
- Part 4 Discriminative Graphical Models for Context-Based Classification
- Part 5 From the Subspace Methods to the Mutual Subspace Method
- Part 6 What, Where and Who? Telling the Story of an Image by Activity classification, Scene Recognition and Object Categorization
- Part 7 Semantic Texton Forests
- Part 8 Multi-view Object Categorization and Pose Estimation
- Part 9 A Vision-based Remote Control
- Part 10 Multi-view Multi-object Detection and Tracking
- Part 11 Shape from Photographs: a Multi-View Stereo Pipeline
- Part 12 Practical 3D reconstruction based on Photometric Stereo
- Part 13 Index.