Recognition and localization of articulated objects

Yacov Hel-Or*, Michael Werman

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

13 Scopus citations

Abstract

This paper presents a method for localization and interpretation 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 during the interpretation 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
Pages116-123
Number of pages8
StatePublished - 1994
Externally publishedYes
EventProceedings of the Workshop on Motion of Non-Rigid and Articulated Objects - Austin, TX, USA
Duration: 11 Nov 199412 Nov 1994

Conference

ConferenceProceedings of the Workshop on Motion of Non-Rigid and Articulated Objects
CityAustin, TX, USA
Period11/11/9412/11/94

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