Fundamentals of Computer Vision

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Wesley E. Snyder, Hairong Qi
Cambridge University Press, 9/28/2017
EAN 9781107184886, ISBN10: 1107184886

Hardcover, 390 pages, 26 x 18.2 x 2.2 cm
Language: English

Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mathematical and algorithmic tools to develop a thorough understanding of the underlying components of any complete computer vision system and to design such systems. These components include identifying local features such as corners or edges in the presence of noise, edge preserving smoothing, connected component labeling, stereopsis, thresholding, clustering, segmentation, and describing and matching both shapes and scenes. The extensive examples include photographs of faces, cartoons, animal footprints, and angiograms, and each chapter concludes with homework exercises and suggested projects. Intended for advanced undergraduate and beginning graduate students, the text will also be of use to practitioners and researchers in a range of applications.

Part I. Preliminaries
1. Computer vision, some definitions, and some history
2. Writing programs to process images
3. Review of mathematical principles
4. Images – representation and creation
Part II. Preprocessing
5. Kernel operators
6. Noise removal
7. Mathematical morphology
Part III. Image Understanding
8. Segmentation
9. Parametric transforms
10. Representing and matching shape
11. Representing and matching scenes
Part IV. The 2-D Image in a 3-D World
12. Relating to three dimensions
13. Developing computer vision algorithms.