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» Modeling pointing at targets of arbitrary shapes
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NIPS
2003
13 years 8 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
CHI
2003
ACM
14 years 7 months ago
Refining Fitts' law models for bivariate pointing
We investigate bivariate pointing in light of the recent progress in the modeling of univariate pointing. Unlike previous studies, we focus on the effect of target shape (width an...
Johnny Accot, Shumin Zhai
CAIP
2009
Springer
185views Image Analysis» more  CAIP 2009»
14 years 1 months ago
Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System
Abstract. Tracking of articulated objects is a challenging task in Computer Vision. A highly target specific model can improve the robustness of the tracking by eliminating or red...
Nicole M. Artner, Adrian Ion, Walter G. Kropatsch
PAMI
2008
231views more  PAMI 2008»
13 years 7 months ago
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors
This paper describes methods for recovering time-varying shape and motion of nonrigid 3D objects from uncalibrated 2D point tracks. For example, given a video recording of a talkin...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
CCGRID
2006
IEEE
14 years 1 months ago
Interactive Grid-based Free-Form Shape Modeling
— Geometric shape modeling becomes increasingly complex and resource-demanding task. In this paper we propose a method to leverage the power of Grid to provide users with high-pr...
Anthony S. K. Chong, Konstantin Levinski, Alexei S...