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» A Computational Model of Multidimensional Shape
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BMVC
2001
13 years 10 months ago
An Information Theoretic Approach to Statistical Shape Modelling
Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspo...
Rhodri H. Davies, Timothy F. Cootes, Carole J. Twi...
BMVC
1998
13 years 9 months ago
Building Shape Models from Image Sequences using Piecewise Linear Approximation
A method of extracting, classifying and modelling non-rigid shapes from an image sequence is presented. Shapes are approximated by polygons where the number of sides is related to...
Derek R. Magee, Roger D. Boyle
POLICY
2004
Springer
14 years 1 months ago
Towards a Multi-dimensional Characterization of Dissemination Control
Dissemination control (DCON) is emerging as one of the most important and challenging goals for information security. DCON is concerned with controlling information and digital ob...
Roshan K. Thomas, Ravi S. Sandhu
CSDA
2006
85views more  CSDA 2006»
13 years 7 months ago
Fast and compact smoothing on large multidimensional grids
A framework of penalized generalized linear models and tensor products of B-splines with roughness penalties allows effective smoothing of data in multidimensional arrays. A strai...
Paul H. C. Eilers, Iain D. Currie, María Du...
CGF
2007
135views more  CGF 2007»
13 years 7 months ago
Variational 3D Shape Segmentation for Bounding Volume Computation
We propose a variational approach to computing an optimal segmentation of a 3D shape for computing a union of tight bounding volumes. Based on an affine invariant measure of e-ti...
Lin Lu, Yi-King Choi, Wenping Wang, Myung-Soo Kim