Title

Optimal Corner Detector

Comments

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Keywords

Computer Science; Artificial Intelligence; Imaging Science; Photographic Technology

Abstract

A corner is defined as the junction point of two or more stright line edges. Corners are special features in a image. They are of great use in computing the optical flow and structure from motion. In this paper, we report an optimal corner detector which uses a mathematical model for a corner. An optimal gray tone corner detector is derived for a restricted case of corners, i.e., corners made by lines which are symmetric about a horizontal axis. The resultant corner detector is described by the product of the sine in x and an exponential in the y direction in a portion of the mask and by the product of two sines in x and y directions in the remaining portion. It is then generalized to include any corner of an arbitrary angle and orientation. This results in an approximation of all corners by a total of twelve major types. It is observed that all the twelve masks can actually be configured with four smaller sub-masks, and this results in a significant reduction in the computations. The computations are further reduced by using the separability of masks. Results for synthetic and real scenes are reported.

Journal Title

Computer Vision Graphics and Image Processing

Volume

48

Issue/Number

2

Publication Date

1-1-1989

Document Type

Note

Language

English

First Page

230

Last Page

245

WOS Identifier

WOS:A1989AX49100004

ISSN

0734-189X

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