Perceptual organization and visual recognition

by David G. Lowe

[目次]

  • 1. Introduction.- 1.0 Overview of spatial vision.- 1.0.1 Viewpoint and spatial correspondence.- 1.0.2 Perceptual organization.- 1.0.3 The relationship to psychology.- 1.1 Two viewpoints on computer vision.- 1.1.1 Production of disambiguated representations.- 1.1.2 Searching for spatial correspondence.- 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.- 3.1.1 Viewpoint invariance conditions.- 3.1.2 Prior knowledge of probability of occurrence.- 3.1.3 Null hypothesis of position independence.- 3.1.4 Ratio of background density to proximity.- 3.1.5 Recursive application of structuring.- 3.2 Limiting computational complexity.- 3.2.1 Consider only local neighborhoods.- 3.2.2 Texture characterizations.- 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.- 6.1.1 The role of perceptual organization.- 6.2 Searching the space of possible objects.- 6.2.1 A model of probabilistic search.- 6.2.2 Evidential reasoning for reducing search.- 6.2.3 Evidential reasoning in vision.- 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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この本の情報

書名 Perceptual organization and visual recognition
著作者等 Lowe, David G.
Lowe D.G.
シリーズ名 The Kluwer international series in engineering and computer science
出版元 Kluwer Academic
刊行年月 c1985
ページ数 xi, 162 p.
大きさ 25 cm
ISBN 089838172X
NCID BA00923758
※クリックでCiNii Booksを表示
言語 英語
出版国 アメリカ合衆国
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