DocumentCode
699499
Title
Hough Transform with GNC
Author
Leich, A. ; Junghans, M. ; Jentschel, H.-J.
Author_Institution
Dresden Univ. of Technol., Dresden, Germany
fYear
2004
fDate
6-10 Sept. 2004
Firstpage
745
Lastpage
748
Abstract
The Hough Transform is a histogram method for pattern recognition. In this paper an approach to apply the Hough Transform to the recognition of scale variant patterns is introduced. The approach is based on the Euclidean distance of the image and the pattern. Further, the concept of Graduated Non-Convexity (GNC) is applied to the problem of evaluating the parameter space. A new, fast Hough Transform algorithm is the result which can be generalized to high-dimensional parameter spaces.
Keywords
Hough transforms; concave programming; image recognition; parameter space methods; GNC; Hough transform algorithm; graduated nonconvexity; high-dimensional parameter space evaluation; histogram method; image Euclidean distance; scale variant pattern recognition; Abstracts; Computational complexity; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2004 12th European
Conference_Location
Vienna
Print_ISBN
978-320-0001-65-7
Type
conf
Filename
7080029
Link To Document