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» Surface Reconstruction using Learned Shape Models
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WACV
2002
IEEE
14 years 1 months ago
Range Synthesis for 3D Environment Modeling
In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We develop a statistical learning method f...
Luz Abril Torres-Méndez, Gregory Dudek
ECCV
2002
Springer
14 years 10 months ago
Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion
Estimating geometric structure from uncalibrated images accurately enough for high quality rendering is difficult. We present a method where only coarse geometric structure is trac...
Dana Cobzas, Martin Jägersand
ICIP
2005
IEEE
14 years 10 months ago
Spacetime-continuous geometry meshes from multi-view video sequences
We reconstruct geometry for a time-varying scene given by a number of video sequences. The dynamic geometry is represented by a 3D hypersurface embedded in space-time. The interse...
Bastian Goldlücke, Marcus A. Magnor
ICPR
2008
IEEE
14 years 3 months ago
Dyslexia diagnostics by 3D texture analysis of cerebral white matter gyrifications
The importance of accurate early diagnostics of dyslexia that severely affects the learning abilities of children cannot be overstated. Neuropathological studies have revealed an ...
Ayman El-Baz, Manuel Casanova, Georgy L. Gimel'far...
AVSS
2009
IEEE
14 years 3 months ago
A 3D Face Model for Pose and Illumination Invariant Face Recognition
Generative 3D face models are a powerful tool in computer vision. They provide pose and illumination invariance by modeling the space of 3D faces and the imaging process. The powe...
Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami...