Charge density-based 3D model retrieval using bag-of-feature

Authors:
Fattah Alizadeh;Alistair Sutherland
Affiliations:
Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland
Venue:
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
Year:
2013

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Abstract

As the number of 3D models is growing on the internet and other domain-specific datasets, the search and retrieval of such models are attracting a lot of attention. A shape descriptor it plays critical roles in the retrieval quality enhancement. In this paper we propose a new robust shape descriptor based on the distribution of charge density on the surface of a 3D model. After calculating the charge density for each triangular face of each model as local features, we utilize the Bag-of-Features framework to perform global matching using the local features. Our experiments on the McGill and PSB datasets show that the proposed descriptor is robust to a variety of modifications and transformations and offers a higher retrieving quality compared to other well-known approaches.