Texture-Independent Feature-point Matching (TIFM) from motion coherence

Ping Li, D.S. Farin, R. Klein Gunnewiek, P.H.N. With, de

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This paper proposes a novel and efficient feature-point matching algorithm for finding point correspondences between two uncalibrated images. The striking feature of the proposed algorithm is that the algorithm is based on the motion coherence/smoothness constraint only, which states that neighboring features in an image tend to move coherently. In the algorithm, the correspondences of feature points in a neighborhood are collectively determined in a way such that the smoothness of the local motion field is maximized. The smoothness constraint does not rely on any image feature, and is self-contained in the motion field. It is robust to the camera motion, scene structure, illumination, etc. This makes the proposed algorithm texture-independent and robust. Experimental results show that the proposed method outperforms existing methods for feature-point tracking in image sequences.
Original languageEnglish
Title of host publicationComputer vision, ACCV 2007 : 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007 : proceedings
Place of PublicationBerlin
ISBN (Print)978-3-540-76385-7
Publication statusPublished - 2007

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


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