Table of contents:
Part 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
Book Details
- Hardcover: 375 pages
- Publisher: Springer (July, 2010)
- Language: English
- ISBN-10: 3642128475
- ISBN-13: 978-3642128479
- File Size: 14.1 MiB
- Hits: 1,614 times