Machine Learning for Computer Vision - Softcover
Book 32 of 538: Studies in Computational Intelligence
Synopsis
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.
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Review
From the reviews:
“This book should ... be of interest to anybody involved in computer vision or image and video analysis, as it presents many challenging scenarios to the machine learning community. ... this book presents a snapshot of key research in the areas of computer vision and machine learning. On this level, the book succeeds, with many first-class papers. I recommend the book to practitioners in the field, as well as those pursuing PhD-level studies.” (David Marshall, Computing Reviews, April, 2013)"About this title" may belong to another edition of this title.
