Model based pose estimation of articulated and constrained objects

Yaacov Hel-Or, Michael Werman

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

3 Scopus citations


This paper presents a method for localization of modeled objects that is general enough to cover articulated and other types of constrained models. The flexibility between components of the model are expressed as spatial constraints which are fused into the pose estimation process. The constraint fusion assists in obtaining a precise and stable pose of each object's component and in finding the correct interpretation. The proposed method can handle any constraint (including inequalities) between any number of different components of the model. The framework is based on Kalman filtering.

Original languageAmerican English
Title of host publicationComputer Vision — ECCV 1994 - 3rd European Conference on Computer Vision, Proceedings
EditorsJan-Olof Eklundh
PublisherSpringer Verlag
Number of pages12
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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