Name
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. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TPAMI.2003.1217601 | Pattern Analysis and Machine Intelligence, IEEE Transactions |
Keywords | Field | DocType |
generic region,facial feature detector,detecting points,fast runtimes,real-time implementation,low-computational complexity,fast radial symmetry,real-time vision application,interest detector,low-computational cost,contemporary technique,superior performance,real time systems,feature detection,frames per second,face detection,point of interest,real time,radial symmetry,mathematical transformations,computational complexity,region of interest,points of interest,computer vision,feature extraction | Computer vision,Computer science,Feature extraction,Artificial intelligence,Pentium,Frame rate,Face detection,Region of interest,Point of interest,Detector,Computational complexity theory | Journal |
Volume | Issue | ISSN |
25 | 8 | 0162-8828 |
Citations | PageRank | References |
218 | 11.28 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gareth Loy | 1 | 627 | 42.88 |
| Alexander Zelinsky | 2 | 1144 | 124.18 |