3D Symmetry Detection Using The Extended Gaussian Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Spherical Representation for Recognition of Free-Form Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Matching 3D Models with Shape Distributions
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
An evolutionary optimization approach for 3D human head model classification
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
SMI '04 Proceedings of the Shape Modeling International 2004
EC-EGI: enriched complex EGI for 3D shape registration
Machine Vision and Applications
Content-based 3D model retrieval based on the spatial geometric descriptor
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
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In this paper, we consider a new shape representation for 3D object, called multi-resolution Multi-Shell Extended Gaussian Image (MSEGI) which eliminates the major drawback of EGI for not containing any direct distance information. MSEGI decomposes a 3D mesh model into multi-concentric shells by the normal distance of the outward surfaces to the origin, and captures the surface area distribution of a 3D model with surface orientation in each concentric shell. Then this distribution function is transformed to spherical harmonic coefficients which can provide multi-resolution shape descriptions by adopting different dimensions. Experimental results based on the public Princeton Shape Benchmark (PSB) dataset of 3D models show that the MSEGI significantly improves EGI, and outperforms CEGI and some popular shape descriptors.