UNIGE document Chapitre d'actes
previous document  unige:47933  next document
add to browser collection
Title

Recognition of planar objects over complex backgrounds using line invariants and relevance measures

Authors
Published in R. Mohr and W. Chengke. Proceedings of the International Workshop on Geometric Modelling and Invariance for Computer Vision, GMICV'95. Xi'an (China): Xidian University Press. 1995, p. 301-306
Abstract This paper addresses the robust recognition of planar polygonal objects situated in 3D space over highly textured backgrounds, where each object is modeled by a set of "five-lines" projective invariants. The main contributions of this work are the following: the establishment of the discriminative ability of an indexing space based on five-lines invariants, the presentation of a robust mechanism for extracting relevant line segments on which invariants are computed, the use of these invariants for geometric hashing amongst possible objects from the model base, and the verification of hypotheses through a purposive search for missing line segments. Finally, experiments verify that the indexing complexity remains linear when the size of the model base increases linearly. Experiments are presented using a model base of 10 shapes, with about 10 views for each shape acquired from various points of view.
Identifiers
Full text
Structures
Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
Citation
(ISO format)
STARTCHIK, Sergei, RAUBER, Christian, PUN, Thierry. Recognition of planar objects over complex backgrounds using line invariants and relevance measures. In: R. Mohr and W. Chengke (Ed.). Proceedings of the International Workshop on Geometric Modelling and Invariance for Computer Vision, GMICV'95. Xi'an (China). [s.l.] : Xidian University Press, 1995. p. 301-306. https://archive-ouverte.unige.ch/unige:47933

147 hits

29 downloads

Update

Deposited on : 2015-03-06

Export document
Format :
Citation style :