Title :
A Hough-like prediction/correction approach for shape extraction
Author :
Lam, Lam T S ; Lam, Wilson C Y ; Yuen, Kelvin S Y ; Leung, Dennis N K
Author_Institution :
Dept. of Electron. Eng., City Polytech. of Hong Kong, Kowloon, Hong Kong
Abstract :
Locating a two-dimensional object accurately in an image is a very common task in the applications of computer vision. In this paper, a Hough-like prediction/correction (HPC) approach is proposed for locating arbitrary shapes (i.e., non-analytical shapes) in images. The approach can be regarded as a modification of the generalized Hough transform (GHT) that has been shown as a robust method. Not only does the proposed approach retain the merits of the GHT, but also minimizes the problems
Keywords :
Hough transforms; computer vision; feature extraction; object recognition; prediction theory; 2D object location; computer vision; generalized Hough transform; object recognition; prediction/correction approach; shape extraction; Cities and towns; Computer industry; Computer vision; Equations; Kelvin; Metals industry; Robustness; Shape; Transforms; Two dimensional displays;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.400227
