Generalized dual-point Hough transform for object recognition

Author

Chau, Chun-Pong ; Siu, Wan-chi

Author_Institution

Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, Hong Kong

Volume

1

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

560

Abstract

In this paper, a modified version of dual-point generalized Hough transform has been proposed. Inspired by the result of an analysis of the shapes of objects, we are able to improve the efficiency of the dual-point generalized Hough transform. A characteristic angle, which is governed by the points selected in the recognition process, will be determined for the generation of the R-table. This angle is based on making the number of index entries in the R-table as large as possible, the number of entries per indexes as small as possible, and the number of access per point as small as possible. Experimental results show that it can improve the transform by increasing the detection accuracy and speed after the modification is made into the transform

Keywords

Hough transforms; object recognition; R-table; characteristic angle; detection accuracy; generalized dual-point Hough transform; index entries; object recognition; Character generation; Character recognition; Object detection; Object recognition; Shape; Voting;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on

Conference_Location

Kobe

Print_ISBN

0-7803-5467-2

Type

conf

DOI

10.1109/ICIP.1999.821691

Filename

821691