CVPR
2004
IEEE
14 years 4 months ago
2004
IEEE
Tracking of humans in dynamic scenes has been an important topic of research. Most techniques, however, are limited to situations where humans appear isolated and occlusion is sma...
CVPR
2004
IEEE
14 years 4 months ago
2004
IEEE
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
CVPR
2004
IEEE
14 years 4 months ago
2004
IEEE
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
CVPR
2004
IEEE
14 years 4 months ago
2004
IEEE
In many computer vision algorithms, the well known Euclidean or SSD (sum of the squared differences) metric is prevalent and justified from a maximum likelihood perspective when t...
CVPR
2004
IEEE
14 years 4 months ago
2004
IEEE
Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphi...
CVPR
2004
IEEE
14 years 4 months ago
2004
IEEE
CVPR
2004
IEEE
14 years 4 months ago
2004
IEEE
Multimedia retrieval is going to play an increasingly important role in the future. Since the availability of digital media seems ever rising, not only the retrieval performance i...
CVPR
2004
IEEE
14 years 4 months ago
2004
IEEE
Given an image, how do we automatically assign keywords to it? In this paper, we propose a novel, graph-based approach (GCap) which outperforms previously reported methods for aut...
CVPR
2004
IEEE
14 years 4 months ago
2004
IEEE
This paper develops an analytic model for self shadowing and local illumination of rough surfaces. The surface is assumed homogeneous, isotropic, and smooth microscopically, with ...
CVPR
2004
IEEE
14 years 4 months ago
2004
IEEE
Automatic image orientation detection for natural images is a useful, yet challenging research area. Humans use scene context and semantic object recognition to identify the corre...