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Author Index
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- Fundamentals of Computer Vision
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- 28 September 2017, pp 369-372
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9 - Parametric Transforms
- from Part III - Image Understanding
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- Fundamentals of Computer Vision
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- 28 September 2017, pp 200-217
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6 - Noise Removal
- from Part II - Preprocessing
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- 28 September 2017, pp 92-118
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A - Support Vector Machines
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- Fundamentals of Computer Vision
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- 28 September 2017, pp 353-358
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1 - Computer Vision, Some Definitions, and Some History
- from Part I - Preliminaries
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- 28 September 2017, pp 3-10
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12 - Relating to Three Dimensions
- from Part IV - The 2D Image in a 3D World
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- 28 September 2017, pp 303-349
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3 - Review of Mathematical Principles
- from Part I - Preliminaries
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- 28 September 2017, pp 16-38
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Preface
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- 28 September 2017, pp xiii-xiv
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B - How to Differentiate a Function Containing a Kernel Operator
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- 28 September 2017, pp 359-361
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10 - Representing and Matching Shape
- from Part III - Image Understanding
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- 28 September 2017, pp 218-266
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13 - Developing Computer Vision Algorithms
- from Part IV - The 2D Image in a 3D World
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- 28 September 2017, pp 350-352
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2 - Writing Programs to Process Images
- from Part I - Preliminaries
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- 28 September 2017, pp 11-15
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Contents
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- 28 September 2017, pp vii-xii
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7 - Mathematical Morphology
- from Part II - Preprocessing
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- 28 September 2017, pp 119-146
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Fundamentals of Computer Vision
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8 - Segmentation
- from Part III - Image Understanding
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- 28 September 2017, pp 149-199
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C - The Image File System (IFS) Software
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- 28 September 2017, pp 362-368
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Dedication
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11 - Representing and Matching Scenes
- from Part III - Image Understanding
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- 28 September 2017, pp 267-300
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4 - Images: Representation and Creation
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- 28 September 2017, pp 39-48
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