Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images

Hagit Zabrodsky; Daphna Weinshall

doi:10.1007/3-540-57956-7_43

Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images

Hagit Zabrodsky, Daphna Weinshall

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

In previous applications, bilateral symmetry of objects was used either as a descriptive feature in domains such as recognition and grasping, or as a way to reduce the complexity of structure from motion. In this paper we propose a novel application, using the symmetry property to "symmetrize" data before and after reconstruction. We first show how to compute the closest symmetric 2D and 3D configurations given noisy data. This gives us a symmetrization procedure, which we apply to images before reconstruction, and which we apply to the 3D configuration after reconstruction. We demonstrate a significant improvement obtained with real images. We demonstrate the relative merits of symmetrization before and after reconstruction using simulated and real data.

Original language	English
Title of host publication	Computer Vision — ECCV 1994 - 3rd European Conference on Computer Vision, Proceedings
Editors	Jan-Olof Eklundh
Publisher	Springer Verlag
Pages	403-410
Number of pages	8
ISBN (Print)	9783540579564
DOIs	https://doi.org/10.1007/3-540-57956-7_43
State	Published - 1994
Event	3rd European Conference on Computer Vision, ECCV 1994 - Stockholm, Sweden Duration: 2 May 1994 → 6 May 1994

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	800 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd European Conference on Computer Vision, ECCV 1994
Country/Territory	Sweden
City	Stockholm
Period	2/05/94 → 6/05/94

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1994.

Access to Document

10.1007/3-540-57956-7_43

Cite this

Zabrodsky, H., & Weinshall, D. (1994). Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images. In J.-O. Eklundh (Ed.), Computer Vision — ECCV 1994 - 3rd European Conference on Computer Vision, Proceedings (pp. 403-410). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 800 LNCS). Springer Verlag. https://doi.org/10.1007/3-540-57956-7_43

Zabrodsky, Hagit ; Weinshall, Daphna. / Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images. Computer Vision — ECCV 1994 - 3rd European Conference on Computer Vision, Proceedings. editor / Jan-Olof Eklundh. Springer Verlag, 1994. pp. 403-410 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Zabrodsky, H & Weinshall, D 1994, Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images. in J-O Eklundh (ed.), Computer Vision — ECCV 1994 - 3rd European Conference on Computer Vision, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 800 LNCS, Springer Verlag, pp. 403-410, 3rd European Conference on Computer Vision, ECCV 1994, Stockholm, Sweden, 2/05/94. https://doi.org/10.1007/3-540-57956-7_43

Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images. / Zabrodsky, Hagit; Weinshall, Daphna.
Computer Vision — ECCV 1994 - 3rd European Conference on Computer Vision, Proceedings. ed. / Jan-Olof Eklundh. Springer Verlag, 1994. p. 403-410 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 800 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Zabrodsky H, Weinshall D. Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images. In Eklundh JO, editor, Computer Vision — ECCV 1994 - 3rd European Conference on Computer Vision, Proceedings. Springer Verlag. 1994. p. 403-410. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-57956-7_43

Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images

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