Solid shape
Graph drawing by force-directed placement
Software—Practice & Experience
Determination of the orientation of 3D objects using spherical harmonics
Graphical Models and Image Processing
Stop minding your p's and q's: a simplified O(n) planar embedding algorithm
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
The Complex EGI: A New Representation for 3-D Pose Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
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)
Fundamentals of spherical parameterization for 3D meshes
ACM SIGGRAPH 2003 Papers
Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Surface Classification Using Conformal Structures
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Rotation Estimation from Spherical Images
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Conformal Method for Quantitative Shape Extraction: Performance Evaluation
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Optimal Global Conformal Surface Parameterization
VIS '04 Proceedings of the conference on Visualization '04
Unsupervised learning of image manifolds by semidefinite programming
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Directional histogram model for three-dimensional shape similarity
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Discrete conformal shape representation and reconstruction of 3d mesh objects
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Optimal estimation and detection in homogeneous spaces
IEEE Transactions on Signal Processing
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This paper describes an approach of representing 3D shape by using a set of invariant spherical harmonic (SH) coefficients after conformal mapping. Specifically, a genus-zero 3D mesh object is first conformally mapped onto the unit sphere by using a modified discrete conformal mapping, where the modification is based on Mobius factorization and aims at obtaining a canonical conformal mapping. Then a SH analysis is applied to the resulting conformal spherical mesh. The obtained SH coefficients are further made invariant to translation and rotation, while at the same time retain the completeness, thanks to which the original shape information has been faithfully preserved.