Performance Evaluation of State-of-the-Art Discrete Symmetry Detection Algorithms

Minwoo Park, Seungkyu Lee, Po-Chun Chen, Somesh Kashyap, Asad A. Butt, and Yanxi Liu
Computer Vision and Pattern Recognition Conference (CVPR '08), July, 2008.


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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 algo- rithms. 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.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): Computational Symmetry
Number of pages: 8

Text Reference
Minwoo Park, Seungkyu Lee, Po-Chun Chen, Somesh Kashyap, Asad A. Butt, and Yanxi Liu, "Performance Evaluation of State-of-the-Art Discrete Symmetry Detection Algorithms," Computer Vision and Pattern Recognition Conference (CVPR '08), July, 2008.

BibTeX Reference
@inproceedings{Liu_2008_6195,
   author = "Minwoo Park and Seungkyu Lee and Po-Chun Chen and Somesh Kashyap and Asad A. Butt and Yanxi Liu",
   title = "Performance Evaluation of State-of-the-Art Discrete Symmetry Detection Algorithms",
   booktitle = "Computer Vision and Pattern Recognition Conference (CVPR '08)",
   month = "July",
   year = "2008",
}