Paper Info
Title
Probabilistic matching of line segments for their homography
Abstract
Finding correspondences of two images taken from largely different camera configuration is a challenging problem because appearance information such as color, intensity and edge orientation histogram cannot be used. A probabilistic approach to match line segments in the images is proposed for calculating their homography. A membership matrix to represent contribution of every match to the homography is employed. A relaxed version of forward stepwise regression is derived and the test statistic is optimized. An alternating scheme for optimizing the membership and homography is provided. The simulation results on synthetic images validate the proposed method.
Year
DOI
Venue
2008
10.1109/ICPR.2008.4760986
ICPR
Keywords
Field
DocType
image matching,homography,forward stepwise regression,probabilistic matching,membership matrix,camera configuration,probability,algorithm design and analysis,probabilistic logic,image segmentation,stepwise regression,graph theory,computer vision
Graph theory,Histogram,Line segment,Computer vision,Pattern recognition,Test statistic,Computer science,Image segmentation,Homography,Artificial intelligence,Probabilistic logic,Homography (computer vision)
Conference
ISSN
ISBN
Citations 
1051-4651 E-ISBN : 978-1-4244-2175-6
978-1-4244-2175-6
2
PageRank 
References 
Authors
0.38
10
3
Name
Order
Citations
PageRank
Jihwan Woo1102.65
Taemn Kim238228.18
In So Kweon32795207.62