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Journal of Electronic Imaging

Consistency functional map propagation for repetitive patterns
Author(s): Hao Wang
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Paper Abstract

Repetitive patterns appear frequently in both man-made and natural environments. Automatically and robustly detecting such patterns from an image is a challenging problem. We study repetitive pattern alignment by embedding segmentation cue with a functional map model. However, this model cannot tackle the repetitive patterns directly due to the large photometric and geometric variations. Thus, a consistency functional map propagation (CFMP) algorithm that extends the functional map with dynamic propagation is proposed to address this issue. This propagation model is acquired in two steps. The first one aligns the patterns from a local region, transferring segmentation functions among patterns. It can be cast as an L2,1 norm optimization problem. The latter step updates the template segmentation for the next round of pattern discovery by merging the transferred segmentation functions. Extensive experiments and comparative analyses have demonstrated an encouraging performance of the proposed algorithm in detection and segmentation of repetitive patterns.

Paper Details

Date Published: 9 September 2017
PDF: 11 pages
J. Electron. Imag. 26(5) 053006 doi: 10.1117/1.JEI.26.5.053006
Published in: Journal of Electronic Imaging Volume 26, Issue 5
Show Author Affiliations
Hao Wang, Shanghai Jiao Tong Univ. (China)


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