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

Hagit Zabrodsky, Daphna Weinshall

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations


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 languageAmerican English
Title of host publicationComputer Vision — ECCV 1994 - 3rd European Conference on Computer Vision, Proceedings
EditorsJan-Olof Eklundh
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783540579564
StatePublished - 1994
Event3rd European Conference on Computer Vision, ECCV 1994 - Stockholm, Sweden
Duration: 2 May 19946 May 1994

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume800 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd European Conference on Computer Vision, ECCV 1994

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1994.


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