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» A probabilistic framework for image segmentation
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ECCV
2006
Springer
14 years 9 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
CVPR
2007
IEEE
14 years 10 months ago
Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs
In this paper, we propose a novel approach for foreground layer extraction using flash/no-flash image pairs, which we call flash cut. Flash cut is based on the simple observation t...
Jian Sun, Sing Bing Kang, Zong-Ben Xu, Xiaoou Tang...
ICIP
2003
IEEE
14 years 9 months ago
Deformable face mapping for person identification
This paper introduces a novel deformable model for face mapping and its application to automatic person identification. While most face recognition techniques directly model the f...
Florent Perronnin, Jean-Luc Dugelay, Kenneth Rose
ICIP
2009
IEEE
14 years 9 months ago
Learning Large Margin Likelihoods For Realtime Head Pose Tracking
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...
ICRA
2007
IEEE
175views Robotics» more  ICRA 2007»
14 years 2 months ago
Homography Based Kalman Filter for Mosaic Building. Applications to UAV position estimation
— This paper presents a probabilistic framework where uncertainties can be considered in the mosaic building process. It is shown how can be used as an environment representation...
Fernando Caballero, Luis Merino, Joaquin Ferruz, A...