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» Object Detection Using a Cascade of 3D Models
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ICPR
2008
IEEE
15 years 4 months ago
2D and 3D upper body tracking with one framework
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
Lei Zhang, Jixu Chen, Zhi Zeng, Qiang Ji
ICPR
2000
IEEE
15 years 10 months ago
A Quick 3D-2D Registration Method for a Wide-Range of Applications
Amethod for quick determination of the position and pose of a 3D free-form object with respect to its 2D projective image(s) is proposed. It is a precondition of the method that a...
Yasuyo Kita, Nobuyuki Kita, Dale L. Wilson, J. Ali...
CVPR
2011
IEEE
14 years 4 months ago
Proposal Generation for Object Detection using Cascaded Ranking SVMs
Object recognition has made great strides recently. However, the best methods, such as those based on kernelSVMs are highly computationally intensive. The problem of how to accele...
Ziming Zhang, Jonathan Warrell, Philip Torr
PAMI
2010
222views more  PAMI 2010»
14 years 8 months ago
Minimal Surfaces Extend Shortest Path Segmentation Methods to 3D
—Shortest paths have been used to segment object boundaries with both continuous and discrete image models. Although these techniques are well defined in 2D, the character of the...
Leo Grady
CVPR
2007
IEEE
15 years 11 months ago
Kernel-Based 3D Tracking
We present a computer vision system for robust object tracking in 3D by combining evidence from multiple calibrated cameras. This kernel-based 3D tracker is automatically bootstra...
Ambrish Tyagi, Mark A. Keck, James W. Davis, Geras...