Sciweavers

CVPR
2004
IEEE
15 years 3 days ago
Proposal Maps Driven MCMC for Estimating Human Body Pose in Static Images
This paper addresses the problem of estimating human body pose in static images. This problem is challenging due to the high dimensional state space of body poses, the presence of...
Mun Wai Lee, Isaac Cohen
CVPR
2004
IEEE
15 years 3 days ago
A Unified Spatio-Temporal Articulated Model for Tracking
Tracking articulated objects in image sequences remains a challenging problem, particularly in terms of the ability to localize the individual parts of an object given selfocclusi...
Xiangyang Lan, Daniel P. Huttenlocher
CVPR
2004
IEEE
15 years 3 days ago
Multiobjective Data Clustering
Martin H. C. Law, Alexander P. Topchy, Anil K. Jai...
CVPR
2004
IEEE
15 years 3 days ago
Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language
This paper presents a spatio-temporal query language useful for video interpretation and event recognition. The language is suited to describe configurations of objects moving on ...
Christian Köhler
CVPR
2004
IEEE
15 years 3 days ago
Radiometric Alignment of Image Sequences
Color values in an image are related to image irradiance by a nonlinear function called radiometric response function. Since this function depends on the aperture and the shutter ...
Seon Joo Kim, Marc Pollefeys
CVPR
2004
IEEE
15 years 3 days ago
A Rao-Blackwellized Particle Filter for EigenTracking
Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully appl...
Zia Khan, Tucker R. Balch, Frank Dellaert
CVPR
2004
IEEE
15 years 3 days ago
Bayesian Face Recognition Using Support Vector Machine and Face Clustering
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
Zhifeng Li, Xiaoou Tang
CVPR
2004
IEEE
15 years 3 days ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
CVPR
2004
IEEE
15 years 3 days ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
CVPR
2004
IEEE
15 years 3 days ago
Capturing Image Structure with Probabilistic Index Maps
One of the major problems in modeling images for vision tasks is that images with very similar structure may locally have completely different appearance, e.g., images taken under...
Nebojsa Jojic, Yaron Caspi