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» Graph-Theoretical Methods in Computer Vision
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ICPR
2008
IEEE
16 years 25 days ago
On edge structure based adaptive observation model for facial feature tracking
Facial feature tracking is a crucial and challenging task in computer vision. Recently online-learning methods have become increasingly popular on account of their strong ability ...
Xiaoyan Wang, Yangsheng Wang, Xuetao Feng, Mingcai...
188
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ICPR
2008
IEEE
16 years 25 days ago
Adaptive semantic Bayesian framework for image attention
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...
Wei Zhang, Q. M. Jonathan Wu, Guanghui Wang
ICCV
2007
IEEE
15 years 10 months ago
USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images
Image smoothing, segmentation and registration are three key processing steps in many computer vision applications. In this paper, we present a novel framework for achieving all t...
Nicholas A. Lord, Jeffrey Ho, Baba C. Vemuri
BMVC
2000
15 years 7 months ago
Region-Based Object Recognition: Pruning Multiple Representations and Hypotheses
We address the problem of object recognition in computer vision. We represent each model and the scene in the form of Attributed Relational Graph. A multiple region representation...
Alireza Ahmadyfard, Josef Kittler
BMVC
1998
15 years 7 months ago
Learning Enhanced 3D Models for Vehicle Tracking
This paper presents an enhanced hypothesis verification strategy for 3D object recognition. A new learning methodology is presented which integrates the traditional dichotomic obj...
James M. Ferryman, Anthony D. Worrall, Stephen J. ...