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» Object Detection Using a Cascade of 3D Models
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CVPR
2007
IEEE
14 years 11 months ago
Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMilla...
HUMO
2007
Springer
14 years 25 days ago
Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking
In this paper, we present a 3D registration algorithm based on simulated physical force/moment for articulated human motion tracking. Provided with sparsely reconstructed 3D human ...
Bingbing Ni, Stefan Winkler, Ashraf A. Kassim
ICMCS
2005
IEEE
99views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Segmentation of 3D Objects Using Pulse-Coupled Oscillator Networks
Along with image and video libraries, archives of 3D models have recently gained increasing attention. Accordingly, there is an increasing demand for solutions enabling retrieval ...
Eva Ceccarelli, Alberto Del Bimbo, Pietro Pala
ICIP
2002
IEEE
14 years 10 months ago
Automatic 3D model reconstruction using voxel coding and pose integration
Automatic reconstruction of a complete 3D model of a complex object is presented. The complete 3D model is reconstructed by integrating two 3D models which are reconstructed from ...
Soon-Yong Park, Murali Subbarao
ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
13 years 7 months ago
High-speed 3D object recognition using additive features in a linear subspace
— In this paper we propose a method of high-speed 3D object recognition using linear subspace method and our 3D features. This method can be applied to partial models with any si...
Asako Kanezaki, Hideki Nakayama, Tatsuya Harada, Y...