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Feature Grouping: a Way to Deterministic Matching

Roger Mohr 1, 2 Long Quan 3 Éric Thirion 3
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : This paper illustrates how feature grouping can improve matching. Obviously feature groupes convey more information and therefore are less ambiguous. But still remains the problem of the choice of these groups, how to build them automatically and how to use them in different problems. Partial answers taken from our work and from some others are given here.
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Submitted on : Monday, December 20, 2010 - 8:47:00 AM
Last modification on : Friday, February 26, 2021 - 3:26:01 PM

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Roger Mohr, Long Quan, Éric Thirion. Feature Grouping: a Way to Deterministic Matching. Roger Mohr and Th. Pavlidis and A. Sanfeliu. Structural Pattern Analysis, 19, World Scientific, pp.149--164, 1990, World Scientific Series in Computer Science, 978-981-02-0097-8. ⟨inria-00548465⟩

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