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ISCAS
1999
IEEE
72views Hardware» more  ISCAS 1999»
15 years 4 months ago
Shape-based sequential machine analysis
In this paper, the problem of determining if a given sequential specification can be made to fit a predetermined set of shape constraints is explored. Shape constraints are constr...
A. Crews, F. Brewer
JCAM
2010
78views more  JCAM 2010»
14 years 6 months ago
A tension approach to controlling the shape of cubic spline surfaces on FVS triangulations
We propose a parametric tensioned version of the FVS macro-element to control the shape of the composite surface and remove artificial oscillations, bumps and other undesired beha...
Oleg Davydov, Carla Manni
CVPR
2005
IEEE
16 years 1 months ago
Estimating 3D Shape and Texture Using Pixel Intensity, Edges, Specular Highlights, Texture Constraints and a Prior
We present a novel algorithm aiming to estimate the 3D shape, the texture of a human face, along with the 3D pose and the light direction from a single photograph by recovering th...
Sami Romdhani, Thomas Vetter
CVPR
2005
IEEE
16 years 1 months ago
Shape Matching and Object Recognition Using Low Distortion Correspondences
We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up corres...
Alexander C. Berg, Tamara L. Berg, Jitendra Malik
114
Voted
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 1 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar