Title: Line Correspondences Between Two Images Using Local Affine Moment Invariant
Authors: Chan, C. H.
Hung, Y. S.
Leung, C. H.
Citation: WSCG '2005: Short Papers: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS, p. 129-132.
Issue Date: 2005
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2005/Papers_2005/Short/!WSCG2005_Short_Proceedings_Final.pdf
ISBN: 80-903100-9-5
Keywords: afinní transformace;párování linií;lokální afinní momentové invarianty
Keywords in different language: affine transformation;line matching;local affine moment invariant
Abstract: This paper proposes an algorithm for matching line segments between two images which are related by affine transformations using local affine moment invariant (AMI). Instead of using traditional methods for objection recognition in which each object is globally represented by a vector of affine moment invariants, here each pair of line segments extracted from each image is locally represented by an affine moment invariant. This algorithm is suitable for line correspondences with multi-planes and occlusion. Matches are determined through comparing invariant values and voting. Experimental results are given for both synthetic and real images. The noise model of affine moment invariant is also presented.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2005: Short Papers

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