Perceptual Organization and Visual Recognition

Author:   D. Lowe
Publisher:   Kluwer Academic Publishers
Edition:   1985 ed.
Volume:   5
ISBN:  

9780898381726


Pages:   162
Publication Date:   30 June 1985
Format:   Hardback
Availability:   In Print   Availability explained
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Perceptual Organization and Visual Recognition


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Author:   D. Lowe
Publisher:   Kluwer Academic Publishers
Imprint:   Kluwer Academic Publishers
Edition:   1985 ed.
Volume:   5
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.940kg
ISBN:  

9780898381726


ISBN 10:   089838172
Pages:   162
Publication Date:   30 June 1985
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction.- 1.0 Overview of spatial vision.- 1.1 Two viewpoints on computer vision.- 1.2 A demonstration of perceptual organization.- 1.3 Specific functions of perceptual organization.- 2. Previous Research.- 2.1 Gestalt psychology and perceptual organization.- 2.2 The principle of simplicity.- 2.3 Grouping as the formation of causal relations.- 2.4 The role of grouping in computer vision systems.- 3. The Significance of Image Relations.- 3.1 Probability of accidental occurrence.- 3.2 Limiting computational complexity.- 3.3 Conclusions.- 4. The Segmentation of Image Curves.- 4.1 Previous research on curve segmentation.- 4.2 Significance of a curve segmentation.- 4.3 Selecting the most significant structures.- 4.4 Demonstration of the algorithm.- 4.5 Evaluation and future research.- 5. The Use of Viewpoint Invariance.- 5.1 Three-space inferences from image features.- 5.2 Recovery of 3D properties from line drawings.- 5.3 A demonstration of three-space inference.- 5.4 Conclusions and future development.- 6. Model-based Search and Inference.- 6.1 Searching the space of possible viewpoints.- 6.2 Searching the space of possible objects.- 6.3 Summary.- 7. The Verification of Interpretations.- 7.1 Viewpoint determination in human vision.- 7.2 Definition of the problem.- 7.3 Previous research on viewpoint determination.- 7.4 Formulation of perspective projection.- 7.5 Newton-Raphson convergence.- 7.6 Solving for model parameters.- 7.7 Matching lines instead of points.- 7.8 Implementation and future research.- 8. The Scerpo Vision System.- 8.1 Edge detection.- 8.2 Perceptual organization.- 8.3 Matching and evidential reasoning.- 8.4 Verification.- 8.5 System performance and future extensions.- 9. Conclusions.- 9.1 Directions for future development.- Bibliographic Index.

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