Journal article
Scale space clustering evolution for salient region detection on 3D deformable shapes
Pattern Recognition Letters, Vol.71, pp.414-427
22/05/2017
Abstract
Salient region detection without prior knowledge is a challenging task, especially for 3D deformable shapes. This paper presents a novel framework that relies on clustering of a data set derived from the scale space of the auto diffusion function. It consists of three major techniques: scalar field construction, shape segmentation initialization and salient region detection. We define the scalar field using the auto diffusion function at consecutive time scales to reveal shape features. Initial segmentation of a shape is obtained using persistence-based clustering, which is performed on the scalar field at a large time scale to capture the global shape structure. We propose two measures to assess the clustering both on a global and local level using persistent homology. From these measures, salient regions are detected during the evolution of the scalar field. Experimental results on three popular datasets demonstrate the superior performance of the proposed framework in region detection.
Details
- Title
- Scale space clustering evolution for salient region detection on 3D deformable shapes
- Authors/Creators
- X. Wang (Author/Creator)F. Sohel (Author/Creator)M. Bennamoun (Author/Creator)Y. Guo (Author/Creator)H. Lei (Author/Creator)
- Publication Details
- Pattern Recognition Letters, Vol.71, pp.414-427
- Publisher
- Elsevier B.V.
- Identifiers
- 991005540712707891
- Copyright
- © 2017 Elsevier B.V.
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.17 Computer Vision & Graphics
- 4.17.245 3D Geometry Processing
- Web Of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic
- ESI research areas
- Engineering