Robust multi-view correspondence of noisy 2D points using relaxation

Authors
Lee, DH Jung, SK Wohn, K
Citation
Dh. Lee et al., Robust multi-view correspondence of noisy 2D points using relaxation, ELECTR LETT, 36(8), 2000, pp. 719-720
Citations number
4
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
ELECTRONICS LETTERS
ISSN journal
00135194 → ACNP
Volume
36
Issue
8
Year of publication
2000
Pages
719 - 720
Database
ISI
SICI code
0013-5194(20000413)36:8<719:RMCON2>2.0.ZU;2-W
Abstract
An efficient ghost removal algorithm for reliably extracting correspondence information for 2D points from several views using epipolar constraints is proposed. The point matching relations are modelled using a weighted k-par tite graph and a globally convergent iterative algorithm is used to extract reliable maximum cliques from the graph using probabilistic relaxation lab elling. Experimental results show the effectiveness of the proposed method.