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» Learning 3-D object orientation from images
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197
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SIGGRAPH
1999
ACM
15 years 10 months ago
Environment Matting and Compositing
This paper introduces a new process, environment matting, which captures not just a foreground object and its traditional opacity matte from a real-world scene, but also a descrip...
Douglas E. Zongker, Dawn M. Werner, Brian Curless,...
145
Voted
3DIM
2003
IEEE
15 years 11 months ago
A Fast Point-to-Tangent Plane Technique for Multi-view Registration
This paper addresses a registration refinement problem and presents an accurate and fast Point-to-(Tangent) Plane technique. Point-to-Plane approach is known to be very accurate ...
Soon-Yong Park, Murali Subbarao
CVPR
2009
IEEE
17 years 1 months ago
Factorization for Non-Rigid and Articulated Structure using Metric Projections
This paper describes a new algorithm for recovering the 3D shape and motion of deformable and articulated objects purely from uncalibrated 2D image measurements using an iterati...
Alessio Del Bue, João M. F. Xavier, Lourdes...
161
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ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
CVPR
2007
IEEE
16 years 8 months ago
Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...
Michal Sofka, Gehua Yang, Charles V. Stewart