Shape and motion estimation from geometry and motion modeling

P. L. Bazin, N. M. Vezien

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


This paper presents a new approach to shape and motion estimation based on geometric primitives and relations in a model-based framework. A description of a scene in terms of structured geometric elements sharing relationship allows to derive a parametric model with Euclidian constraints, and a camera model is also proposed to reduce the problem dimensionality. It leads to a sequential MAP estimation, that gives accurate and comprehensible results on real images.

Original languageEnglish (US)
Pages (from-to)1612-1619
Number of pages8
JournalIEICE Transactions on Information and Systems
Issue number12
StatePublished - Dec 2001


  • Estimation
  • Euclidian relations
  • Model-based
  • Motion modeling
  • Shape and motion

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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