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» Object Detection Using a Cascade of 3D Models
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ICML
2005
IEEE
16 years 7 months ago
Object correspondence as a machine learning problem
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
Bernhard Schölkopf, Florian Steinke, Volker B...
ICRA
2009
IEEE
167views Robotics» more  ICRA 2009»
16 years 1 months ago
Articulated object tracking by rendering consistent appearance parts
— We describe a general methodology for tracking 3-dimensional objects in monocular and stereo video that makes use of GPU-accelerated filtering and rendering in combination wit...
Zachary A. Pezzementi, Sandrine Voros, Gregory D. ...
GRAPHICSINTERFACE
1997
15 years 7 months ago
Multiresolution BSP Trees Applied to Terrain, Transparency, and General Objects
We present a system for incorporating multiple level of detail (LOD) models of 3D objects within a single hierarchical data structure. This system was designed for a scientific vi...
Charles Wiley, A. T. Campbell III, Stephen A. Szyg...
CGF
2005
138views more  CGF 2005»
15 years 6 months ago
Approximation of a Variable Density Cloud of Points by Shrinking a Discrete Membrane
This paper describes a method to obtain a closed surface that approximates a general 3D data point set with non-uniform density. Aside from the positions of the initial data point...
Jordi Esteve, Pere Brunet, Alvar Vinacua
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