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» Learning 3-D object orientation from images
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ICALT
2005
IEEE
15 years 11 months ago
Understanding Object-Oriented Software through Virtual Role-Play
Visualization techniques are commonly used in computer science, particularly for understanding the interactions intrinsic in the object-oriented paradigm. The visualization effect...
Guillermo Jiménez-Díaz, Mercedes G&o...
174
Voted
ICCV
1999
IEEE
15 years 10 months ago
3D Pose Tracking with Linear Depth and Brightness Constraints
This paper explores the direct motion estimation problem assuming that video-rate depth information is available, from either stereo cameras or other sensors. We use these depth m...
Michael Harville, Ali Rahimi, Trevor Darrell, Gail...
186
Voted
ICCV
2011
IEEE
14 years 6 months ago
3D Scene Flow Estimation with a Rigid Motion Prior
We present an approach to 3D scene flow estimation, which exploits that in realistic scenarios image motion is frequently dominated by observer motion and independent, but rigid ...
Christoph Vogel, Stefan Roth, Konrad Schindler
159
Voted
ICIP
2009
IEEE
15 years 3 months ago
Lamp: Linear approach for matching points
The 3D object recognition from a single or multiple 2D images is a very important problem in the computer vision field with a wide range of real applications. Considering the affi...
Manuel Marques, João Costeira
CRV
2007
IEEE
145views Robotics» more  CRV 2007»
16 years 14 days ago
Can Lucas-Kanade be used to estimate motion parallax in 3D cluttered scenes?
When an observer moves in a 3D static scene, the motion field depends on the depth of the visible objects and on the observer’s instantaneous translation and rotation. By compu...
Vincent Chapdelaine-Couture, Michael S. Langer