Chapter 2 Knowing a Good Feature When You See It: Ground Truth and Methodology to Evaluate Local Features for Recognition

Chapter 3 Dynamic Graph Cuts and Their Applications in Computer Vision

Chapter 4 Discriminative Graphical Models for Context-Based Classification

Chapter 5 From the Subspace Methods to the Mutual Subspace Method

Chapter 6 What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization

Chapter 7 Semantic Texton Forests

Chapter 8 Multi-view Object Categorization and Pose Estimation

Chapter 9 A Vision-Based Remote Control

Chapter 10 Multi-view Multi-object Detection and Tracking

Chapter 11 Shape from Photographs: A Multi-view Stereo Pipeline

Chapter 12 Practical 3D Reconstruction Based on Photometric Stereo