Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Parametrization of closed surfaces for 3-D shape description
Computer Vision and Image Understanding
Determination of the orientation of 3D objects using spherical harmonics
Graphical Models and Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape versus Size: Improved Understanding of the Morphology of Brain Structures
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
A clustering-based approach for prediction of cardiac resynchronization therapy
Proceedings of the 2005 ACM symposium on Applied computing
Spherical-harmonic decomposition for molecular recognition in electron-density maps
International Journal of Data Mining and Bioinformatics
Grasp planning by alignment of pairwise shape descriptorss
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A prediction framework for cardiac resynchronization therapy via 4d cardiac motion analysis
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Myocardial deformation recovery using a 3d biventricular incompressible model
WBIR'06 Proceedings of the Third international conference on Biomedical Image Registration
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
A novel approach for high dimension 3D object representation using Multi-Mother Wavelet Network
Multimedia Tools and Applications
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The spherical harmonic (SPHARM) description is a powerful surface modeling technique that can model arbitrarily shaped but simply connected 3D objects and has been used in many applications in medical imaging. Previous SPHARM techniques use the first order ellipsoid for establishing surface correspondence and aligning objects. However, this first order information may not be sufficient in many cases; a more general method for establishing surface correspondence would be to minimize the mean squared distance between two corresponding surfaces. In this paper, a new surface matching algorithm is proposed for 3D SPHARM models to achieve this goal. This algorithm employs a useful rotational property of spherical harmonic basis functions for a fast implementation. Applications of medical image analysis (e.g., spatio-temporal modeling of heart shape changes) are used to demonstrate this approach. Theoretical proofs and experimental results show that our approach is an accurate and flexible surface correspondence alignment method.