ACM Transactions on Graphics (TOG)
A fast depth-buffer-based voxelization algorithm
Journal of Graphics Tools
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Shape-Similarity Search of 3D Models by using Enhanced Shape Functions
TPCG '03 Proceedings of the Theory and Practice of Computer Graphics 2003
Matching 3D Models with Shape Distributions
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
A Survey of Content Based 3D Shape Retrieval Methods
SMI '04 Proceedings of the Shape Modeling International 2004
SMI '04 Proceedings of the Shape Modeling International 2004
Mesh editing with poisson-based gradient field manipulation
ACM SIGGRAPH 2004 Papers
Radius-Normal Histogram and Hybrid Strategy for 3D Shape Retrieval
SMI '05 Proceedings of the International Conference on Shape Modeling and Applications 2005
Pose-Oblivious Shape Signature
IEEE Transactions on Visualization and Computer Graphics
Shape representation and classification using the Poisson equation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
International Journal of Computer Vision
Characterizing shape using conformal factors
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
ConTopo: non-rigid 3D object retrieval using topological information guided by conformal factors
EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
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With the rapid increase of available 3D models, content-based 3D retrieval is attracting more and more research interests. Histogram is the most widely in constructing 3d shape descriptor. Most existing histogram based descriptors, however, will not remain invariant under rigid transform. In this paper, we proposed a new kind of descriptor called poisson shape histogram. The main advantage of the proposed descriptor is not sensitive for rigid transform. It can remain invariant under rotation as well. To extract poisson shape histogram, we first convert the given 3d model into voxel representation. Then, the poisson solver with dirichlet boundary condition is used to get shape signature for each voxel. Finally, the poisson shape histogram is constructed by shape signatures. Retrieving experiments for the shape benchmark database have proven that poisson shape histogram can achieve better performance than other similar histogram-based shape representations.