Ten lectures on wavelets
Spherical wavelets: efficiently representing functions on the sphere
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
The lifting scheme: a construction of second generation wavelets
SIAM Journal on Mathematical Analysis
Multiresolution Based on Weighted Averages of the Hat Function I: Linear Reconstruction Techniques
SIAM Journal on Numerical Analysis
Spherical averages and applications to spherical splines and interpolation
ACM Transactions on Graphics (TOG)
Spherical parametrization and remeshing
ACM SIGGRAPH 2003 Papers
A method for identifying geometrically simple surfaces from three-dimensional images
A method for identifying geometrically simple surfaces from three-dimensional images
Multiscale 3D shape analysis using spherical wavelets
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Shape-Driven 3d segmentation using spherical wavelets
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery
SIAM Journal on Scientific Computing
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Modeling, characterization and analysis of biological shapes and forms are important in many computational biology studies. Shape representation challenges span the spectrum from small scales (e.g., microarray imaging and protein structure) to the macro scale (e.g., neuroimaging of human brains). In this paper, we present a new approach to represent and analyze biological shapes using wavelets. We apply the new technique to multi-spectral shape decomposition and study shape variability between populations using brain cortical and subcortical surfaces. The wavelet-space-induced shape representation allows us to study the multi-spectral nature of the shape's geometry, topology and features. Our results are very promising and, comparing to the spherical-wavelets method, our approach is more compact and allows utilization of diverse wavelet bases.