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» Markov Random Field Models in Computer Vision
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ACCV
2007
Springer
15 years 8 months ago
MAPACo-Training: A Novel Online Learning Algorithm of Behavior Models
The traditional co-training algorithm, which needs a great number of unlabeled examples in advance and then trains classifiers by iterative learning approach, is not suitable for ...
Heping Li, Zhanyi Hu, Yihong Wu, Fuchao Wu
ICPR
2008
IEEE
16 years 2 months ago
Dual generative models for human motion estimation from an uncalibrated monocular camera
We propose a new approach to estimate gait kinematics from image sequences taken by a monocular uncalibrated camera. This approach involves two generative models for gait represen...
Guoliang Fan, Xin Zhang
CVPR
2001
IEEE
16 years 3 months ago
Precise Omnidirectional Camera Calibration
Recent omnidirectional camera designs aim a conventional camera at a mirror that expands the camera's field of view. This wide view is ideal for three-dimensional vision task...
Dennis Strelow, Jeffrey Mishler, David Koes, Sanji...
ARC
2009
Springer
188views Hardware» more  ARC 2009»
15 years 8 months ago
Word-Length Optimization and Error Analysis of a Multivariate Gaussian Random Number Generator
Abstract. Monte Carlo simulation is one of the most widely used techniques for computationally intensive simulations in mathematical analysis and modeling. A multivariate Gaussian ...
Chalermpol Saiprasert, Christos-Savvas Bouganis, G...
ICIP
2002
IEEE
16 years 3 months ago
Robust video text segmentation and recognition with multiple hypotheses
A method for segmenting and recognizing text embedded in video and images is proposed in this paper. In the method, multiple segmentation of the same text region is performed, thu...
Jean-Marc Odobez, Datong Chen