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DAGM
2007
Springer
10 years 6 months ago
Clustered Stochastic Optimization for Object Recognition and Pose Estimation
We present an approach for estimating the 3D position and in case of articulated objects also the joint configuration from segmented 2D images. The pose estimation without initial...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
IJCV
2000
164views more  IJCV 2000»
9 years 11 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
9 years 10 months ago
MOPED: A scalable and low latency object recognition and pose estimation system
— The latency of a perception system is crucial for a robot performing interactive tasks in dynamic human environments. We present MOPED, a fast and scalable perception system fo...
Manuel Martinez, Alvaro Collet, Siddhartha S. Srin...
ICRA
2010
IEEE
227views Robotics» more  ICRA 2010»
9 years 9 months ago
Efficient multi-view object recognition and full pose estimation
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
Alvaro Collet, Siddhartha S. Srinivasa
CVPR
2008
IEEE
11 years 1 months ago
Discriminative learning of visual words for 3D human pose estimation
This paper addresses the problem of recovering 3D human pose from a single monocular image, using a discriminative bag-of-words approach. In previous work, the visual words are le...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
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