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» Uncertain Geometry in Computer Vision
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292
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EMMCVPR
2003
Springer
15 years 7 months ago
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling
Poor convergence to concave shapes is a main limitation of snakes as a standard segmentation and shape modelling technique. The gradient of the external energy of the snake represe...
Debora Gil, Petia Radeva
97
Voted
CACM
2005
57views more  CACM 2005»
15 years 2 months ago
Photosensing wireless tags for geometric procedures
Radio frequency tags allow objects to become self-describing, communicating their identity to a close at hand RF reader. Our goal is to build a radio frequency identity and geomet...
Ramesh Raskar, Paul A. Beardsley, Paul H. Dietz, J...
146
Voted
CVPR
2004
IEEE
16 years 4 months ago
View Independent Human Body Pose Estimation from a Single Perspective Image
Recovering the 3D coordinates of various joints of the human body from an image is a critical first step for several model-based human tracking and optical motion capture systems....
Vasu Parameswaran, Rama Chellappa
121
Voted
CVPR
2007
IEEE
16 years 4 months ago
Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation
In this paper, we propose a robust and efficient Lagrangian approach, which we call Delaunay Deformable Models, for modeling moving surfaces undergoing large deformations and topo...
Jean-Philippe Pons, Jean-Daniel Boissonnat
CVPR
2008
IEEE
16 years 4 months ago
Characterizing the shadow space of camera-light pairs
We present a theoretical analysis for characterizing the shadows cast by a point light source given its relative position to the camera. In particular, we analyze the epipolar geo...
Daniel A. Vaquero, Matthew Turk, Ramesh Raskar, Ro...