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Computer Vision: A Unified, Biologically-Inspired Approach

Computer Vision: A Unified, Biologically-Inspired Approach

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Computer Vision: A Unified, Biologically-Inspired Approach

Computer Vision: A Unified, Biologically-Inspired Approach Summary:

 
By Ian Overington
  • Publisher:   Elsevier
  • Number Of Pages:   423
  • Publication Date:   1992-05
  • ISBN-10 / ASIN:   0444889728
  • ISBN-13 / EAN:   9780444889720
Product Description:

This volume provides comprehensive, self-consistent coverage of one approach to computer vision, with many direct or implied links to human vision. The book is the result of many years of research into the limits of human visual performance and the interactions between the observer and his environment. A wide-ranging approach to computer vision is described. The treatment starts with a summary account of important aspects of human visual function. This is then followed by a progressive development of the computer image processing, from sub-pixel fragmentary edge determination to optical flow field analysis, local and global stereo analysis, colour imagery, edge-based region segmentation, perceptual texture segmentation and high fidelity contour form analysis. This treatment is considerably different from other more publicized approaches, and is recommended for those seeking a dynamic approach to computer vision.

Contents:

1. Introduction.
2. Physiological Background.
3. Some General Concepts.
4. Combined First and Second Difference Edge Sensing.
5. Fragmentary Flow Sensing.
6. Edge Detection and Local Motion Sensing in the Presence of Random Noise.
7. Image Sharpness.
8. Image Preprocessing.
9. General Flow Field Analysis.
10. Stereo.
11. Multiple Scale Analysis.
12. Local Contour Analysis.
13. Absolute Motion and Stereo Disparity of Corners and Similar Features.
14. Colour.
15. Edge-based Region Analysis.
16. Differential Texture Analysis.
17. Practical Aspects and Applications.
18. Whither Now?

 

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