Title :
Detection and matching of rectilinear structures
Author :
Branislav Micusik;Horst Wildenauer;Jana Kosecka
Author_Institution :
Mason University, USA
Abstract :
Indoor and outdoor urban environments posses many regularities which can be efficiently exploited and used for general image parsing tasks. We present a novel approach for detecting rectilinear structures and demonstrate their use for wide baseline stereo matching, planar 3D reconstruction, and computation of geometric context. Assuming a presence of dominant orthogonal vanishing directions, we proceed by formulating the detection of the rectilinear structures as a labeling problem on detected line segments. The line segment labels, respecting the proposed grammar rules, are established as the MAP assignment of the corresponding MRF. The proposed framework allows to detect both full as well as partial rectangles, rectangle-in-rectangle structures, and rectangles sharing edges. The use of detected rectangles is demonstrated in the context of difficult wide baseline matching tasks in the presence of repetitive structures and large appearance changes.
Keywords :
"Image reconstruction","Labeling","Image edge detection","Stereo image processing","Shape","Windows","Buildings","Robots","Image segmentation","Markov random fields"
Conference_Titel :
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Print_ISBN :
978-1-4244-2242-5
DOI :
10.1109/CVPR.2008.4587488