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CVPR
2004
IEEE
15 years 3 months ago
Clear Underwater Vision
Yoav Y. Schechner, Nir Karpel
CVPR
2004
IEEE
15 years 3 months ago
Uncontrolled Modulation Imaging
Yoav Y. Schechner, Shree K. Nayar
CVPR
2004
IEEE
15 years 3 months ago
Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmi...
CVPR
2004
IEEE
15 years 3 months ago
Is Bottom-Up Attention Useful for Object Recognition?
A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which...
Ueli Rutishauser, Dirk Walther, Christof Koch, Pie...
CVPR
2004
IEEE
15 years 3 months ago
Multi-Classifier Framework for Atlas-Based Image Segmentation
Three different systematic approaches to generate multiple classifiers in atlas-based biomedical image segmentation are compared. Different atlases, as well as different parametri...
Torsten Rohlfing, Calvin R. Maurer Jr.
CVPR
2004
IEEE
15 years 3 months ago
Gibbs Likelihoods for Bayesian Tracking
Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...
Stefan Roth, Leonid Sigal, Michael J. Black
CVPR
2004
IEEE
15 years 3 months ago
Shaping Receptive Fields for Affine Invariance
The Gaussian kernel has played a central role in multi-scale methods for feature extraction and matching. In this paper, a method for shaping the filter using the local image stru...
S. Ravela
CVPR
2004
IEEE
15 years 3 months ago
Grouping Dominant Orientations for Ill-Structured Road Following
Many rural roads lack sharp, smoothly curving edges and a homogeneous surface appearance, hampering traditional vision-based road-following methods. However, they often have stron...
Christopher Rasmussen
CVPR
2004
IEEE
15 years 3 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic