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Computer Vision By David A. Forsyth

Computer Vision
by David A. Forsyth

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$36.99
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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 enterprise and enables students to learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods.
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Computer Vision Summary


Computer Vision: A Modern Approach: International Edition by David A. Forsyth

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.

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About David A. Forsyth


David A. Forsyth received the D.Phil. degree in computer science from Oxford University. He is currently a Professor in the Computer Science Division at the University of California at Berkeley. He has co-authored over eighty technical papers on computer vision, computer graphics and machine learning and has co-edited two books.

Jean Ponce received the Ph.D. degree in Computer Science from the University of Paris Orsay. He is currently a Professor in the Department of Computer Science and the Beckman Institute at the University of Illinois at Urbana Champaign. Professor Ponce has written over a hundred conference and journal papers and co-edited two books on a range of subjects including computer vision and robotics.

Table of Contents


I. IMAGE FORMATION AND IMAGE MODELS.

1. Cameras.
2. Geometric Camera Models.
3. Geometric Camera Calibration.
4. Radiometry - Measuring Light.
5. Sources, Shadows and Shading.
6. Color.

II. EARLY VISION: JUST ONE IMAGE.

7. Linear Filters.
8. Edge Detection.
9. Texture.

III. EARLY VISION: MULTIPLE IMAGES.

10. The Geometry of Multiple Views.
11. Stereopsis.
12. Affine Structure from Motion.
13. Projective Structure from Motion.

IV. MID-LEVEL VISION.

14. Segmentation By Clustering.
15. Segmentation By Fitting a Model.
16. Segmentation and Fitting Using Probabilistic Methods.
17. Tracking with Linear Dynamic Models.

V. HIGH-LEVEL VISION: GEOMETRIC MODELS.

18. Model-Based Vision.
19. Smooth Surfaces and Their Outlines.
20. Aspect Graphs.
21. Range Data.

VI. HIGH-LEVEL VISION: PROBABILISTIC AND INFERENTIAL METHODS.

22. Finding Templates Using Classifiers.
23. Recognition By Relations Between Templates.
24. Geometric Templates From Spatial Relations.

VII. APPLICATIONS.

25. Application: Finding in Digital Libraries.
26. Application: Image-Based Rendering.

Additional information

GOR002937773
Computer Vision: A Modern Approach: International Edition by David A. Forsyth
David A. Forsyth
Used - Very Good
Paperback
Pearson Education (US)
2003-05-01
693
0131911937
9780131911932
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us.