Computer Vision: Detection, Recognition and Reconstruction (Hardcover)

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.