Computer Vision: A Modern Approach

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Whether in the entertainment industry (building three-dimensional computer models), medical imaging, interpreting satellite images (both for military and civilian purposes), the applications of computer vision is varied and wide ranging. And this compact yet comprehensive text provides a survey of the field of computer vision and views it from a modern perspective. It is self-contained, accessible, and lays emphasis on basic geometry, physics of imaging and probabilistic techniques. Throughout, the authors attempt to lay bare the essentials of computer vision to the students as also to the professionals. The text reflects the latest developments in the field and integrates the learning tools that aid understanding. This uptodate, contemporary text would be useful for students of computer science, IT and MCA offering courses in computer graphics, robotics, image processing, and imaging in general. It would prove equally valuable for the professionals. Table of Contents Part 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. Part II: Early Vision: Just One Image. 7. Linear Filters 8. Edge Detection. 9. Texture. Part III: Early Vision: Multiple Images. 10. The Geometry of Multiple Views. 11. Stereopsis. 12. Affine Structure from Motion. 13. Projective Structure from Motion. Part 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. Part V: High-Level Vision: Geometric Methods- 18. Model-Based Vision. 19. Smooth Surfaces and Their Outlines. 20.Aspect Graphs 21. Range Data. Part 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. Part VII: Applications- 25. Application: Finding in Digital Libraries. 26. Application: Image-Based Rendering. Bibliography. Index.