Fast Radial Symmetry for Detecting Points of Interest
Date
2003
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
Keywords
Keywords: Computational complexity; Mathematical transformations; Personal computers; Radial symmetry; Real time systems Face detection; Feature detection; Points of interest; Radial symmetry; Real-time
Citation
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Source
IEEE Transactions on Pattern Analysis and Machine Intelligence
Type
Journal article