Machine Learning for Computer Vision

• Corporate Author: SpringerLink (Online service)
• Other Authors: Cipolla, Roberto. (Editor), Battiato, Sebastiano. (Editor), Farinella, Giovanni Maria. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Studies in Computational Intelligence, 411
• Subjects: Engineering.; Artificial intelligence.; Computer vision.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Image Processing and Computer Vision.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-28661-2

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 Sum...

Table of Contents:

• Throwing Down the Visual Intelligence Gauntlet
• Actionable Information in Vision
• Learning Binary Hash Codes for Large-Scale Image Search
• Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition
• Real-Time Human Pose Recognition in Parts from Single Depth Images
• Scale-Invariant Vote-based 3D Recognition and Registration from Point Clouds
• Multiple Classifier Boosting and Tree-Structured Classifiers
• Simultaneous detection and tracking with multiple cameras
• Applications of Computer Vision to Vehicles: an extreme test.