3/03/2011

Computer Vision: Detection, Recognition and Reconstruction - PDF

Computer Vision: Detection, Recognition and ReconstructionBook Description
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 Summer School – ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the first two editions of the school on topics such as Recognition, Registration and Reconstruction. The chapters provide an in-depth overview of these challenging areas with key references to the existing literature.

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