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» Robust Statistics for 3D Object Tracking
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127
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IROS
2007
IEEE
212views Robotics» more  IROS 2007»
15 years 9 months ago
GPU-accelerated real-time 3D tracking for humanoid locomotion and stair climbing
— For humanoid robots to fully realize their biped potential in a three-dimensional world and step over, around or onto obstacles such as stairs, appropriate and efficient appro...
Philipp Michel, Joel E. Chestnutt, Satoshi Kagami,...
125
Voted
ICPR
2008
IEEE
15 years 9 months ago
Real-time 3D tracking using multiple sample points
In this paper, we propose a method for robust and realtime estimation of 3D motion. In our method, we use multiple sample points that are on an object before and after moving. Poi...
Akihito Seki, Hiroshi Hattori
117
Voted
SCIA
2007
Springer
162views Image Analysis» more  SCIA 2007»
15 years 8 months ago
A Robust Approach for 3D Cars Reconstruction
Computing high quality 3D models from multi-view stereo reconstruction is an active topic as can be seen in a recent review [15]. Most approaches make the strong assumption that th...
Adrien Auclair, Laurent D. Cohen, Nicole Vincent
153
Voted
CVPR
2011
IEEE
14 years 10 months ago
Tracking 3D Human Pose with Large Root Node Uncertainty
Representing articulated objects as a graphical model has gained much popularity in recent years, often the root node of the graph describes the global position and orientation of...
Ben Daubney, Xianghua Xie
165
Voted
NIPS
2003
15 years 4 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...