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Fariba Amini & Hossien Ebrahimnezhad

Skeleton based Non rigid Shape Matching

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Abstract

This paper offers a new feature for matching deformable objects based on skeleton. Effectiveness of the skeleton-based methods depends to a large extent on the quality and perfection of the extracted skeleton. When the skeleton is extracted, additional branches of which, with the shape contour segmentation, are omitted by DCE method. The pruned skeleton is robust to the complex deformations and noise. After the pruned skeleton is obtained, minimum distance of contour points of the shape from the skeleton is calculated. This distance almost is constant against the articulated changes which this feature is used for finding the corresponding points. In order to carry out matching, the suggested method is applied on the MPEG7 dataset. Results show that the proposed algorithm is highly effective for matching objects.

Keywords : minimum distance, optimized matching, shape contour, shape matching, shape modeling, skeleton

Pour citer cet article

Fariba Amini & Hossien Ebrahimnezhad, «Skeleton based Non rigid Shape Matching», Bulletin de la Société Royale des Sciences de Liège [En ligne], Volume 85 - Année 2016, Actes de colloques, Special edition, 1188 - 1194 URL : https://popups.uliege.be:443/0037-9565/index.php?id=5954.

A propos de : Fariba Amini

Camputer Vision Researching Lab, Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran

A propos de : Hossien Ebrahimnezhad

Camputer Vision Researching Lab, Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran, ebrahimmnezhad@sut.ac.ir