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AAAI
1990
13 years 9 months ago
Generalized Shape Autocorrelation
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
Andrea Califano, Rakesh Mohan
PAMI
1998
131views more  PAMI 1998»
13 years 7 months ago
Characterization of Neuropathological Shape Deformations
—We present a framework for analyzing the shape deformation of structures within the human brain. A mathematical model is developed describing the deformation of any brain struct...
John Martin, Alex Pentland, Stan Sclaroff, Ron Kik...
SSIAI
2002
IEEE
14 years 28 days ago
New Image Processing Models for Opacity Image Analysis in Chest Radiographs
The aim of this research is to develop new image processing models that can be used to characterize single opacities and opacity density within pre-selected regions of interest (R...
Marios S. Pattichis, Harini Muralidharan, Constant...
CW
2004
IEEE
13 years 11 months ago
Watermarking a 3D Shape Model Defined as a Point Set
This paper discusses a method to watermark a 3D shape model defined as a set of unoriented points. Our approach is to perform frequency domain analysis of the shape of the 3D poin...
Ryutarou Ohbuchi, Akio Mukaiyama, Shigeo Takahashi
PRL
2007
108views more  PRL 2007»
13 years 7 months ago
Towards a measure of deformability of shape sequences
In this paper we develop a theory for characterizing how deformable a shape is given a sequence of its observations. We define a term called ‘‘deformability index’’ (DI) ...
Amit K. Roy Chowdhury