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

Dong Hoon Lee; Soon Ki Jung; Kwangyun Wohn

doi:10.1049/el:20000553

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

Dong Hoon Lee
, Soon Ki Jung
, Kwangyun Wohn

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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-partite graph and a globally convergent iterative algorithm is used to extract reliable maximum cliques from the graph using probabilistic relaxation labelling. Experimental results show the effectiveness of the proposed method.

Original language	English
Pages (from-to)	719-720
Number of pages	2
Journal	Electronics Letters
Volume	36
Issue number	8
DOIs	https://doi.org/10.1049/el:20000553
State	Published - 13 Apr 2000

Access to Document

10.1049/el:20000553

Cite this

@article{b7a0b6cacefc4a48ab80ff975fa78ef1,

title = "Robust multi-view correspondence of noisy 2D points using relaxation",

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-partite graph and a globally convergent iterative algorithm is used to extract reliable maximum cliques from the graph using probabilistic relaxation labelling. Experimental results show the effectiveness of the proposed method.",

author = "Lee, \{Dong Hoon\} and Jung, \{Soon Ki\} and Kwangyun Wohn",

year = "2000",

month = apr,

day = "13",

doi = "10.1049/el:20000553",

language = "English",

volume = "36",

pages = "719--720",

journal = "Electronics Letters",

issn = "0013-5194",

publisher = "John Wiley \& Sons Inc.",

number = "8",

}

TY - JOUR

T1 - Robust multi-view correspondence of noisy 2D points using relaxation

AU - Lee, Dong Hoon

AU - Jung, Soon Ki

AU - Wohn, Kwangyun

PY - 2000/4/13

Y1 - 2000/4/13

N2 - 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-partite graph and a globally convergent iterative algorithm is used to extract reliable maximum cliques from the graph using probabilistic relaxation labelling. Experimental results show the effectiveness of the proposed method.

AB - 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-partite graph and a globally convergent iterative algorithm is used to extract reliable maximum cliques from the graph using probabilistic relaxation labelling. Experimental results show the effectiveness of the proposed method.

UR - https://www.scopus.com/pages/publications/0033885671

U2 - 10.1049/el:20000553

DO - 10.1049/el:20000553

M3 - Article

AN - SCOPUS:0033885671

SN - 0013-5194

VL - 36

SP - 719

EP - 720

JO - Electronics Letters

JF - Electronics Letters

IS - 8

ER -

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

Abstract

Access to Document

Other files and links

Fingerprint

Cite this