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Computer vision : a modern approach

Author: David Forsyth; Jean Ponce
Publisher: Upper Saddle River, N.J. ; London : Prentice Hall, ©2003.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Appropriate for upper-division undergraduate and graduate level courses in computer vision, this treatment of modern computer vision methods gives a general view of the entire computer vision  Read more...

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Genre/Form: Problems and exercises
Problems, exercises, etc
Problèmes et exercices
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: David Forsyth; Jean Ponce
ISBN: 0130851981 9780130851987 0131911937 9780131911932
OCLC Number: 50100728
Description: xxv, 693 pages : illustrations ; 26 cm
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.
Responsibility: David A. Forsyth [and] Jean Ponce.

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