CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
We study from a theoretical standpoint the ambiguities that occur when tracking a generic deformable surface under monocular perspective projection given 3?D to 2?D correspondence...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
Where am I and what am I seeing? This is a classical vision problem and this paper presents a solution based on efficient use of a combination of 2D and 3D features. Given a model...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
We present a generative model approach to explore intrinsic semantic structures in sport videos, e.g., the camera view in American football games. We will invoke the concept of se...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
The appearance of a scene is a function of the scene contents, the lighting, and the camera pose. A set of n-pixel images of a non-degenerate scene captured from different perspec...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
Object-based segmentation is a challenging topic. Most of the previous algorithms focused on segmenting a single or a small set of objects. In this paper, the multiple class objec...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
We derive a probabilistic similarity measure between two observed image intensities that is based on the noise properties of the camera. In many vision algorithms, the effect of c...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
Motion blur can degrade the quality of images and is considered a nuisance for computer vision problems. In this paper, we show that motion blur can in-fact be used for increasing...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
We present a new approach to reconstruct the shape of a 3D object or scene from a set of calibrated images. The central idea of our method is to combine the topological flexibilit...