Skip to main content
. Author manuscript; available in PMC: 2015 Jun 14.
Published in final edited form as: Proc IEEE Int Conf Comput Vis. 2007 Oct;2007:10.1109/ICCV.2007.4409137. doi: 10.1109/ICCV.2007.4409137

Figure 1.

Figure 1

The comparison of bi-orthogonal and over-complete spherical wavelets in detecting local shape variation. (a) Synthetic surface with a bump. (b) The bi-orthogonal wavelet coefficient that has the largest magnitude when the north pole of surface mesh is right underneath the center of bump. (c) The bi-orthogonal wavelet coefficients with large magnitude when the surface parameterization is rotated. (d) The over-complete wavelet coefficients that have the largest magnitude with or without the rotation of surface parameterization.