3D model retrieval using MeshSIFT descriptor and fuzzy C-means clustering

Najlaa Abd Hamza, Shatha Habeeb Jafer, Raghad Mohammed Hadi

Abstract


A huge number of three-dimensional models exists on the internet, due to the fact that there are now more three-dimensional modelling and digitizing tools available for ever-increasing applications. The procedures for retrieval of three-dimensional models have thus become even more essential. The subject of this paper is a shape retrieval of 3D models that are signified as triangle meshes. We propose a new method which first computes the descriptor of 3D models through extracting its features, and then divides a model into clusters depending on a descriptor which is invariant to scale and orientation. A Fuzzy C-means clustering method is utilized for dividing the model into clusters. The superior performance and benefits of our method are shown in the results.

Keywords


3D Model Retrieval; Fuzzy C-Means Clustering; Feature Descriptor



DOI: http://doi.org/10.11591/ijeecs.v19.i3.pp%25p
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