Shape Similarity System driven by Digital Elevation Models for Non-rigid Shape Retrieval
- 1. Laboratoire GBA EA4627, Conservatoire National des Arts et Métiers, 2 rue Conté, 75003 Paris, France
- 2. Laboratoire CEDRIC EA4626, Conservatoire National des Arts et Métiers, 2 rue Conté, 75003, Paris, France
Description
Shape similarity computation is the main functionality for shape matching and shape retrieval systems. Existing shape similarity frameworks proceed by parameterizing shapes through the use of global and/or local representations computed in the 3D or 2D space. Up to now, global methods have demonstrated their rapidity, while local approaches offer slower, but more accurate solutions. This paper presents a shape similarity system driven by a global descriptor encoded as a Digital Elevation Model (DEM) associated to the input mesh. The DEM descriptor is obtained through the jointly use of a mesh flattening technique and a 2D panoramic projection. Experimental results on the public dataset TOSCA and a comparison with state-of-the-art methods illustrate the effectiveness of the proposed method in terms of accuracy and efficiency.
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