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» Surface Reconstruction using Learned Shape Models
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NIPS
2001
13 years 10 months ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr
ICCV
2009
IEEE
13 years 6 months ago
Estimating human shape and pose from a single image
We describe a solution to the challenging problem of estimating human body shape from a single photograph or painting. Our approach computes shape and pose parameters of a 3D huma...
Peng Guan, Alexander Weiss, Alexandru O. Balan, Mi...
CGF
2008
134views more  CGF 2008»
13 years 9 months ago
Sample Based Visibility for Soft Shadows using Alias-free Shadow Maps
This paper introduces an accurate real-time soft shadow algorithm that uses sample based visibility. Initially, we present a GPU-based alias-free hard shadow map algorithm that ty...
Erik Sintorn, Elmar Eisemann, Ulf Assarsson
ANLP
2000
97views more  ANLP 2000»
13 years 10 months ago
Trainable Methods for Surface Natural Language Generation
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked on...
Adwait Ratnaparkhi
PAMI
2006
132views more  PAMI 2006»
13 years 8 months ago
Rapid Object Indexing Using Locality Sensitive Hashing and Joint 3D-Signature Space Estimation
We propose a new method for rapid 3D object indexing that combines feature-based methods with coarse alignment-based matching techniques. Our approach achieves a sublinear complexi...
Bogdan Matei, Ying Shan, Harpreet S. Sawhney, Yi T...