About this product

Product Identifiers

PublisherSpringer Berlin / Heidelberg

ISBN-103642286607

ISBN-139783642286605

eBay Product ID (ePID)114210766

Product Key Features

Number of PagesXxii, 250 Pages

LanguageEnglish

Publication NameMachine Learning for Computer Vision

SubjectEngineering (General), Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition

Publication Year2012

TypeTextbook

Subject AreaComputers, Technology & Engineering

AuthorSebastiano Battiato

SeriesStudies in Computational Intelligence Ser.

FormatHardcover

Dimensions

Item Weight20.3 Oz

Item Length9.3 in

Item Width6.1 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2012-933083

ReviewsFrom 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)

Dewey Edition23

Series Volume Number411

Number of Volumes1 vol.

IllustratedYes

Dewey Decimal006.37

Table Of ContentThrowing 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-InvariantObject 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.

SynopsisComputer 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 last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature., Collecting articles covering talks and tutorials from the latest session of the International Computer Vision Summer School (ICVSS), this book offers a thorough exploration of current progress in the science and technology of making machines that see., 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.

LC Classification NumberQ342