Shape representations from shading primitives

John Haddon, David Forsyth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Diffuse interreflections mean that surface shading and shape are related in ways that are difficult to untangle; in particular, distant and invisible surfaces may affect the shading field that one sees. The effects of distant surfaces are confined to relatively low spatial frequencies in the shading field, meaning that we can expect signatures, called shading primitives, corresponding to shape properties. We demonstrate how these primitives can be used to support the construction of useful shape representations. Approaches to this include testing hypotheses of geometric primitives for consistency with the shading field, and looking for shading events that are distinctive of some shape event. We show that these approaches can be composed, leading to an attractive process of representation that is intrinsically bottom up. This representation can be extracted from images of real scenes, and that the representation is diagnostic.

Original languageEnglish (US)
Title of host publicationComputer Vision - ECCV 1998 - 5th European Conference on Computer Vision, Proceedings
EditorsBernd Neumann, Hans Burkhardt
PublisherSpringer-Verlag
Pages415-431
Number of pages17
ISBN (Print)3540646132, 9783540646136
DOIs
StatePublished - Jan 1 1998
Event5th European Conference on Computer Vision, ECCV 1998 - Freiburg, Germany
Duration: Jun 2 1998Jun 6 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1407
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th European Conference on Computer Vision, ECCV 1998
CountryGermany
CityFreiburg
Period6/2/986/6/98

Fingerprint

Shape Representation
Shading
Testing Hypotheses
Testing
Bottom-up
Diagnostics
Signature
Demonstrate

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Haddon, J., & Forsyth, D. (1998). Shape representations from shading primitives. In B. Neumann, & H. Burkhardt (Eds.), Computer Vision - ECCV 1998 - 5th European Conference on Computer Vision, Proceedings (pp. 415-431). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1407). Springer-Verlag. https://doi.org/10.1007/BFb0054756

Shape representations from shading primitives. / Haddon, John; Forsyth, David.

Computer Vision - ECCV 1998 - 5th European Conference on Computer Vision, Proceedings. ed. / Bernd Neumann; Hans Burkhardt. Springer-Verlag, 1998. p. 415-431 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1407).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Haddon, J & Forsyth, D 1998, Shape representations from shading primitives. in B Neumann & H Burkhardt (eds), Computer Vision - ECCV 1998 - 5th European Conference on Computer Vision, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1407, Springer-Verlag, pp. 415-431, 5th European Conference on Computer Vision, ECCV 1998, Freiburg, Germany, 6/2/98. https://doi.org/10.1007/BFb0054756
Haddon J, Forsyth D. Shape representations from shading primitives. In Neumann B, Burkhardt H, editors, Computer Vision - ECCV 1998 - 5th European Conference on Computer Vision, Proceedings. Springer-Verlag. 1998. p. 415-431. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/BFb0054756
Haddon, John ; Forsyth, David. / Shape representations from shading primitives. Computer Vision - ECCV 1998 - 5th European Conference on Computer Vision, Proceedings. editor / Bernd Neumann ; Hans Burkhardt. Springer-Verlag, 1998. pp. 415-431 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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