Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Skeleton Based Shape Matching and Retrieval
SMI '03 Proceedings of the Shape Modeling International 2003
Matching 3D Models with Shape Distributions
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
A Reflective Symmetry Descriptor for 3D Models
Algorithmica
SMI '04 Proceedings of the Shape Modeling International 2004
A planar-reflective symmetry transform for 3D shapes
ACM SIGGRAPH 2006 Papers
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
3D similarity search using a weighted structural histogram representation
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
An experimental comparison of seven shape descriptors in the general shape analysis problem
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
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A new algorithm for the recognition of three-dimensional objects is proposed in this paper. The algorithm is based on the rendering of several 2D projections of a 3D model, from various positions of the camera. Similarly to the proposition given in [1], the vertices of the dodecahedron enclosing the processed model contain the cameras for this purpose. The obtained projections are stored in bitmaps and the Point Distance Histogram for the description of the planar shapes extracted from them is applied. The obtained histograms represent a 3D model. The experiments performed have confirmed the high efficiency of the proposed algorithm. It outperformed five other algorithms for the representation of 3D shapes.