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Computer Vision A Modern Approach

ISBN-10: 0130851981
ISBN-13: 9780130851987
Edition: 2003
List price: $152.00
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Description: Appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering. This long anticipated book is the most complete treatment of  More...

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Book details

List price: $152.00
Copyright year: 2003
Publisher: Prentice Hall PTR
Publication date: 8/14/2002
Binding: Hardcover
Pages: 693
Size: 8.25" wide x 10.25" long x 1.25" tall
Weight: 3.278
Language: English

Appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering. This long anticipated book is the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods.

Image Formation and Image Models
Cameras
Geometric Camera Models
Geometric Camera Calibration
Radiometry - Measuring Light
Sources, Shadows and Shading
Color
Early Vision: Just One Image
Linear Filters
Edge Detection
Texture
Early Vision: Multiple Images
The Geometry of Multiple Views
Stereopsis
Affine Structure from Motion
Projective Structure from Motion
Mid-Level Vision
Segmentation By Clustering
Segmentation By Fitting a Model
Segmentation and Fitting Using Probabilistic Methods
Tracking with Linear Dynamic Models
High-Level Vision: Geometric Models
Model-Based Vision
Smooth Surfaces and Their Outlines
Aspect Graphs
Range Data
High-Level Vision: Probabilistic and Inferential Methods
Finding Templates Using Classifiers
Recognition By Relations Between Templates
Geometric Templates From Spatial Relations
Applications
Application: Finding in Digital Libraries
Application: Image-Based Rendering

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