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» Geometric Moments in Scale-Spaces
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SCALESPACE
1997
Springer
13 years 11 months ago
From High Energy Physics to Low Level Vision
A geometric framework for image scale space, enhancement, and segmentation is presented. We consider intensity images as surfaces in the (x I) space. The image is thereby a 2D surf...
Ron Kimmel, Nir A. Sochen, Ravi Malladi
TIP
1998
109views more  TIP 1998»
13 years 7 months ago
A general framework for low level vision
—We introduce a new geometrical framework based on which natural flows for image scale space and enhancement are presented. We consider intensity images as surfaces in the (x; I...
Nir A. Sochen, Ron Kimmel, Ravi Malladi
PAMI
1998
96views more  PAMI 1998»
13 years 7 months ago
On the Accuracy of Zernike Moments for Image Analysis
—In this paper, we give a detailed analysis of the accuracy of Zernike moments in terms of their discretization errors and the reconstruction power. It is found that there is an ...
Simon X. Liao, Miroslaw Pawlak
PR
2007
125views more  PR 2007»
13 years 7 months ago
Calculating geometric properties of three-dimensional objects from the spherical harmonic representation
The volume, location of the centroid, and second order moments of a threedimensional star-shaped object are determined in terms of the spherical harmonic coefficients of its bound...
Artemy Baxansky, Nahum Kiryati
CG
2011
Springer
13 years 2 months ago
Robust and blind mesh watermarking based on volume moments
This paper presents a robust and blind watermarking algorithm for threedimensional (3D) meshes. The watermarking primitive is an intrinsic 3D shape descriptor: the analytic and co...
Kai Wang, Guillaume Lavoué, Florence Denis,...