ACM Transactions on Graphics (TOG)
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
3D zernike descriptors for content based shape retrieval
SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
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
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Spherical Wavelet Descriptors for Content-based 3D Model Retrieval
SMI '06 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2006
The Generalized Shape Distributions for Shape Matching and Analysis
SMI '06 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2006
A spectral approach to shape-based retrieval of articulated 3D models
Computer-Aided Design
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
Characterizing shape using conformal factors
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
3d object retrieval using salient views
Proceedings of the international conference on Multimedia information retrieval
A 3D shape classifier with neural network supervision
International Journal of Computer Applications in Technology
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In the present paper, we propose a novel 3D shape descriptor by performing multiresolution wavelet analysis on shape orientation. We consider the spatial orientation of the polygon surfaces of a shape as important information and characterize this information by setting view planes. We then analyze these view planes by multiresolution wavelet analysis, a powerful tool used in signal processing, and lower the high resolution to low frequency domains because the high resolution contains too much information, which must be reduced in order to capture the main components. We compare the proposed descriptor to two of the best-performing descriptors on the Princeton Shape Benchmark, Spherical Harmonics Descriptor and Light Field Descriptor, and analyze the performance of the proposed descriptor from several aspects. We also compare the proposed descriptor to the Spherical Wavelet Descriptor, which won the best paper award at SMI06, a near method to our descriptor. The proposed descriptor improves the retrieval performance.