CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
In this paper, the problem of estimating automatically the symmetry plane of bilateral objects (having perfect or imperfect mirror symmetry) in point clouds is reexamined. Classic...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We propose an efficient method for complex optimization problems that often arise in computer vision. While our method is general and could be applied to various tasks, it was mai...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We propose a scheme to introduce directionality in the Random Walker algorithm for image segmentation. In particular, we extend the optimization framework of this algorithm to com...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
This paper presents a general solution to the determination of the pose of a perspective camera with unknown focal length from images of four 3D reference points. Our problem is a...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We consider the problem of dimensionality reduction, where given high-dimensional data we want to estimate two mappings: from high to low dimension (dimensionality reduction) and f...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
From the recovery of structure from motion to the separation of style and content, many problems in computer vision have been successfully approached by using bilinear models. The...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...