Fast Radial Symmetry for Detecting Points of Interest
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Description
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...[Show more]
dc.contributor.author | Loy, G. | |
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dc.contributor.author | Zelinsky, Alex | |
dc.date.accessioned | 2015-12-13T23:08:09Z | |
dc.date.available | 2015-12-13T23:08:09Z | |
dc.identifier.issn | 0162-8828 | |
dc.identifier.uri | http://hdl.handle.net/1885/86540 | |
dc.description.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. | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE Inc) | |
dc.source | IEEE Transactions on Pattern Analysis and Machine Intelligence | |
dc.subject | Keywords: Computational complexity; Mathematical transformations; Personal computers; Radial symmetry; Real time systems Face detection; Feature detection; Points of interest; Radial symmetry; Real-time | |
dc.title | Fast Radial Symmetry for Detecting Points of Interest | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
local.identifier.citationvolume | 25 | |
dc.date.issued | 2003 | |
local.identifier.absfor | 080104 - Computer Vision | |
local.identifier.ariespublication | MigratedxPub15448 | |
local.type.status | Published Version | |
local.contributor.affiliation | Loy, G., College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Zelinsky, Alex, College of Engineering and Computer Science, ANU | |
local.bibliographicCitation.issue | 8 | |
local.bibliographicCitation.startpage | 959 | |
local.bibliographicCitation.lastpage | 973 | |
local.identifier.doi | 10.1109/TPAMI.2003.1217601 | |
dc.date.updated | 2015-12-12T08:12:24Z | |
local.identifier.scopusID | 2-s2.0-0042974006 | |
Collections | ANU Research Publications |
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