Consistency functional map propagation for repetitive patterns

Hao Wang

doi:10.1117/1.JEI.26.5.053006

9 September 2017 Consistency functional map propagation for repetitive patterns

Hao Wang

Author Affiliations +

Journal of Electronic Imaging, Vol. 26, Issue 5, 053006 (September 2017). https://doi.org/10.1117/1.JEI.26.5.053006

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 L_2,1 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.

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Hao Wang "Consistency functional map propagation for repetitive patterns," Journal of Electronic Imaging 26(5), 053006 (9 September 2017). https://doi.org/10.1117/1.JEI.26.5.053006

Received: 23 January 2017; Accepted: 11 August 2017; Published: 9 September 2017

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KEYWORDS

Image segmentation

Detection and tracking algorithms

Image processing algorithms and systems

Databases

3D image reconstruction

Binary data

Volume rendering

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