DocumentCode
304724
Title
Vanishing point matching
Author
Leung, John C H ; NcLean, G.F.
Author_Institution
Dept. of Mech. Eng., Victoria Univ., BC, Canada
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
305
Abstract
Most vanishing point detection algorithms an based on the concept of clustering line intersections based on the density of line intersections in a local region. These methods are incapable of discriminating between true vanishing points and points which naturally arise as the mutual intersection of many lines in the image. We present a method of discriminating between non-vanishing points and vanishing points based on the identification of invariant properties of vanishing points in multiple images of a scene. Relaxation labelling is used to match the vanishing points of two images of a scene. The method is described and experimental results are provided which illustrate the successful performance of the algorithm
Keywords
edge detection; image segmentation; algorithm performance; experimental results; image lines intersection; image matching; image regions; invariant properties identification; line intersections clustering; line intersections density; multiple images; mutual line intersection; nonvanishing points; relaxation labelling; vanishing point detection algorithms; vanishing point matching; Calibration; Cameras; Detection algorithms; Displays; Image analysis; Labeling; Laboratories; Layout; Mechanical engineering; Mechanical variables measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.560817
Filename
560817
Link To Document