Open Research will be updating the system on Tuesday, 14 July 2026, from 8:15 to 9:00 AM. We apologise for any inconvenience caused.

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Fast Radial Symmetry for Detecting Points of Interest

Loading...
Thumbnail Image

Date

Authors

Loy, G.
Zelinsky, Alex

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

A new transform is presented that utilizes local radial symmetry to highlight points of interest within a scene. Its low-computational complexity and fast runtimes makes this method well-suited for real-time vision applications. The performance of the transform is demonstrated on a wide variety of images and compared with leading techniques from the literature. Both as a facial feature detector and as a generic region of interest detector the new transform is seen to offer equal or superior performance to contemporary techniques at a relatively low-computational cost. A real-time Implementation of the transform is presented running at over 60 frames per second on a standard Pentium III PC.

Description

Citation

Source

IEEE Transactions on Pattern Analysis and Machine Intelligence

Book Title

Entity type

Access Statement

License Rights

Restricted until

abcd