Fundamentals in Computer Vision: An Advanced Course

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O. D. Faugeras
CUP Archive, Jul 28, 1983 - Computers - 498 pages
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Contents

Abramatic TwoDimensional Digital Signal Processing
27
Granlund Knuttsson Wilson Image Enhancement
57
Kunt Image Coding
91
Feature Extraction
117
Haralick Image Texture Survey
145
Analysis of TimeVarying Imagery
173
Segmentation
186
Haralick Image Segmentation Survey
209
Henderson Syntactic and Structural Methods II
283
Faugeras Conversion Algorithms Between 3D Shape Representations
307
Control and Knowledge Representation
325
PixelBased Methods
373
Hardware and Software
401
Kruse Hardware Structures for Parallel Picture Processing
417
Granlund Arvidsson The GOP Image Computer
443
Levialdi Languages for Image Processing
459

PixelBased Methods
225
Levialdi Basic Ideas for Image Segmentation
239
Henderson FeatureBased 2D Shape Models
263
Krusemark Haralick Achieving Portability in Image Processing Software
479
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Page 458 - This work was supported by the Swedish National Board for Technical Development (NUTEK).

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About the author (1983)

Olivier Faugeras is Research Director and head of a computer vision group at INRIA and Adjunct Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He is the author of "Three-Dimensional Computer Vision" (MIT Press, 1993).

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