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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Minwoo Park Seungkyu Lee Po-Chun Chen Kashyap, S. Butt, A.A. Yanxi Liu |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., State College, PA, USA (Minwoo Park; Seungkyu Lee; Po-Chun Chen) |
| Abstract | Symmetry is one of the important cues for human and machine perception of the world. For over three decades, automatic symmetry detection from images/patterns has been a standing topic in computer vision. We present a timely, systematic, and quantitative performance evaluation of three state of the art discrete symmetry detection algorithms. This evaluation scheme includes a set of carefully chosen synthetic and real images presenting justified, unambiguous single or multiple dominant symmetries, and a pair of well-defined success rates for validation. We make our 176 test images with associated hand-labeled ground truth publicly available with this paper. In addition, we explore the potential contribution of symmetry detection for object recognition by testing the symmetry detection algorithm on three publicly available object recognition image sets (PASCAL VOC'07, MSRC and Caltech-256). Our results indicate that even after several decades of effort, symmetry detection in real-world images remains a challenging, unsolved problem in computer vision. Meanwhile, we illustrate its future potential in object recognition. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 8735004 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424422425 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2008.4587824 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Detection algorithms Reflection Computer vision Testing Object detection Object recognition Image edge detection Detectors Image databases Computer science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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