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231224s2012 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2011.118
|2 doi
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|a eng
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| 100 |
1 |
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|a Lee, Seungkyu
|e verfasserin
|4 aut
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| 245 |
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|a Curved glide-reflection symmetry detection
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|c 2012
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 21.05.2012
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|a Date Revised 01.03.2012
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|a published: Print
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|a Citation Status MEDLINE
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|a We generalize the concept of bilateral reflection symmetry to curved glide-reflection symmetry in 2D euclidean space, such that classic reflection symmetry becomes one of its six special cases. We propose a local feature-based approach for curved glidereflection symmetry detection from real, unsegmented 2D images. Furthermore, we apply curved glide-reflection axis detection for curved reflection surface detection in 3D images. Our method discovers, groups, and connects statistically dominant local glidereflection axes in an Axis-Parameter-Space (APS) without preassumptions on the types of reflection symmetries. Quantitative evaluations and comparisons against state-of-the-art algorithms on a diverse 64-test-image set and 1,125 Swedish leaf-data images show a promising average detection rate of the proposed algorithm at 80 and 40 percent, respectively, and superior performance over existing reflection symmetry detection algorithms. Potential applications in computer vision, particularly biomedical imaging, include saliency detection from unsegmented images and quantification of deviations from normality. We make our 64-test-image set publicly available
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Liu, Yanxi
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 34(2012), 2 vom: 13. Feb., Seite 266-78
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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|g volume:34
|g year:2012
|g number:2
|g day:13
|g month:02
|g pages:266-78
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|u http://dx.doi.org/10.1109/TPAMI.2011.118
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|d 34
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|h 266-78
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