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Computer Vision : A Modern Approach

By: Forsyth, David AContributor(s): Ponce, JeanMaterial type: Text

TextPublication details: New Delhi : Prentice-Hall of India, 2003Description: xxv, 693 pISBN: 0131911937; 9788120323728; 8120323726; 9788129700476Subject(s): Computer visionDDC classification: 006.37

Contents:

Pt. 1. Image formation and image models -- Cameras -- Geometric camera models -- Geometric camera calibration -- Radiometry: measuring light -- Sources, shadows and shading -- Color -- pt. 2. Early vision: just one image -- Linear filters -- Edge detection -- Texture -- pt. 3. Early vision: multiple images -- The geometry of multiple views -- Stereopsis -- Affine structure from motion -- Projective structure from motion -- pt. 4. Mid-level vision -- Segmentation by clustering -- Segmentation by fitting a model -- Segmentation and fitting using probabilistic methods -- Tracking with linear dynamic models -- pt. 5. High-level vision: geometric methods -- Model-based vision -- Smooth surfaces and their outlines -- Aspect graphs -- Range data -- pt. 6. High-level vision: probabilistic and inferential methods -- Finding templates using classifiers -- Recognition by relations between templates -- Geometric templates from spatial relations -- pt. 7. Applications -- Application: finding in digital libraries -- Application: image-based rendering.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Lending Books	Main Library Stacks	Reference	006.37 FOR (Browse shelf(Opens below))	Available		009753
Reference Books	Main Library Reference	Reference	006.37 FOR (Browse shelf(Opens below))	Available		008874

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Previous	006.33 WIN Programme Design for Knowledge Base Systems	006.33 WIN Programme Design for Knowledge Base Systems	006.33 WOR Students Notes on Intelligent Knowledge Based System	006.37 FOR Computer Vision : A Modern Approach	006.37 MYL Fundamentals of machine vision	006.4 AVE Introduction to electronic imaging	006.4 GOS Pattern recognition and image analysis	Next

Includes index

Pt. 1. Image formation and image models --
Cameras --
Geometric camera models --
Geometric camera calibration --
Radiometry: measuring light --
Sources, shadows and shading --
Color --
pt. 2. Early vision: just one image --
Linear filters --
Edge detection --
Texture --
pt. 3. Early vision: multiple images --
The geometry of multiple views --
Stereopsis --
Affine structure from motion --
Projective structure from motion --
pt. 4. Mid-level vision --
Segmentation by clustering --
Segmentation by fitting a model --
Segmentation and fitting using probabilistic methods --
Tracking with linear dynamic models --
pt. 5. High-level vision: geometric methods --
Model-based vision --
Smooth surfaces and their outlines --
Aspect graphs --
Range data --
pt. 6. High-level vision: probabilistic and inferential methods --
Finding templates using classifiers --
Recognition by relations between templates --
Geometric templates from spatial relations --
pt. 7. Applications --
Application: finding in digital libraries --
Application: image-based rendering.

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