DocumentCode
595415
Title
Fast and efficient vanishing point detection in indoor images
Author
Gerogiannis, Demetrios ; Nikou, Christophoros ; Likas, Aristidis
Author_Institution
Dept. of Comput. Sci., Univ. of Ioannina, Ioannina, Greece
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
3244
Lastpage
3247
Abstract
A method for detecting a vanishing point in structured images is presented. The method relies on the detection of line segments from an edge map by representing clusters of edge points by the long axes of highly eccentric ellipses. The extracted lines provide a set of candidate vanishing points computed by their intersections, which are assigned weights proportional to the lengths of the line segments they belong to. Then, a voting scheme is applied through an accumulator array generated by griding the image frame. The votes of each grid cell are weighted by the Π-sigmoid kernel allowing cells to contribute to their neighbors.
Keywords
edge detection; pattern clustering; II-sigmoid kernel; accumulator array; eccentric ellipses; edge map; edge points representing clusters; image frame; indoor images; line segments; line segments detection; structured images; vanishing point detection; Cameras; Computer vision; Europe; Image edge detection; Image segmentation; Kernel;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460856
Link To Document