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CVPR
2003
IEEE
16 years 1 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
ECCV
2008
Springer
16 years 1 months ago
Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
MVA
2007
230views Computer Vision» more  MVA 2007»
15 years 1 months ago
A Rear Vehicle Location Algorithm for Lane Change Assist
A monocular vision based location algorithm is presented to detect and track rear vehicles for lane change assist. The algorithm uses the shadow underneath the vehicle to extract ...
Wei Liu, Chunyan Song, Pengyu Fu, Nan Wang, Huai Y...
CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
15 years 25 days ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
SIAMIS
2010
116views more  SIAMIS 2010»
14 years 10 months ago
Higher-Order Feature-Preserving Geometric Regularization
We introduce two fourth-order regularization methods that remove geometric noise without destroying significant geometric features. These methods leverage ideas from image denoisi...
Marc Droske, Andrea Bertozzi