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186
Voted
CVPR
2008
IEEE
16 years 8 months ago
Drift-free tracking of rigid and articulated objects
Model-based 3D tracker estimate the position, rotation, and joint angles of a given model from video data of one or multiple cameras. They often rely on image features that are tr...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
166
Voted
ICRA
2007
IEEE
222views Robotics» more  ICRA 2007»
16 years 20 days ago
Autonomous Vision-based Landing and Terrain Mapping Using an MPC-controlled Unmanned Rotorcraft
In this paper, we present a vision-based terrain mapping and analysis system, and a model predictive control (MPC)based flight control system, for autonomous landing of a helicop...
Todd Templeton, David Hyunchul Shim, Christopher G...
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
15 years 10 months ago
A Probabilistic Sensor for the Perception of Activities
This paper presents a new technique for the perception of activities using statistical description of spatio-temporal properties. With this approach, the probability of an activit...
Olivier Chomat, James L. Crowley
255
Voted
CVPR
2009
IEEE
16 years 10 months ago
Distributed Volumetric Scene Geometry Reconstruction With a Network of Distributed Smart Cameras
Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless c...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and ...
158
Voted
ECCV
2006
Springer
15 years 10 months ago
A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery
The recovery of 3D shape and camera motion for non-rigid scenes from single-camera video footage is a very important problem in computer vision. The low-rank shape model consists ...
Adrien Bartoli, Søren I. Olsen