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
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;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4
