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ORCIDComputer Vision: Detection, Recognition and Reconstruction 2010
- Roberto Cipolla
, Sebastiano Battiato, Giovanni Maria Farinella:
Computer Vision: Detection, Recognition and Reconstruction. Studies in Computational Intelligence 285, Springer 2010, ISBN 978-3-642-12847-9 - Jan J. Koenderink:
Is Human Vision Any Good? 1-25 - Andrea Vedaldi, Haibin Ling, Stefano Soatto:
Knowing a Good Feature When You See It: Ground Truth and Methodology to Evaluate Local Features for Recognition. 27-49 - Pushmeet Kohli, Philip H. S. Torr:
Dynamic Graph Cuts and Their Applications in Computer Vision. 51-108 - Sanjiv Kumar:
Discriminative Graphical Models for Context-Based Classification. 109-134 - Ken-ichi Maeda:
From the Subspace Methods to the Mutual Subspace Method. 135-156 - Li Fei-Fei, Li-Jia Li:
What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization. 157-171 - Matthew Johnson, Jamie Shotton:
Semantic Texton Forests. 173-203 - Silvio Savarese, Li Fei-Fei:
Multi-view Object Categorization and Pose Estimation. 205-231 - Björn Stenger, Thomas Woodley, Roberto Cipolla:
A Vision-Based Remote Control. 233-262 - Murtaza Taj, Andrea Cavallaro:
Multi-view Multi-object Detection and Tracking. 263-280 - Carlos Hernández, George Vogiatzis:
Shape from Photographs: A Multi-view Stereo Pipeline. 281-311 - George Vogiatzis, Carlos Hernández:
Practical 3D Reconstruction Based on Photometric Stereo. 313-345
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