ICCV
2009
IEEE
13 years 9 months ago
2009
IEEE
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
ICCV
2009
IEEE
13 years 9 months ago
2009
IEEE
Recognition of dynamic scenes based on shape information could be useful for various applications. In this study, we aimed at improving the resolution of three-dimensional (3D) da...
ICCV
2009
IEEE
13 years 9 months ago
2009
IEEE
We present a system that constructs "implicit shape models" for classes of rigid 3D objects and utilizes these models to estimating the pose of class instances in single...
ICCV
2009
IEEE
13 years 9 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
ICCV
2009
IEEE
13 years 9 months ago
2009
IEEE
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
ICCV
2009
IEEE
13 years 9 months ago
2009
IEEE
Underwater, natural illumination typically varies strongly temporally and spatially. The reason is that waves on the water surface refract light into the water in a spatiotemporal...
EMMCVPR
2009
Springer
13 years 9 months ago
2009
Springer
Determining Euclidean transformations for the robust registration of noisy unstructured point sets is a key problem of model-based computer vision and numerous industrial applicati...
CVPR
2009
IEEE
13 years 9 months ago
2009
IEEE
This paper presents an online detection-based two-stage multi-object tracking method in dense visual surveillances scenarios with a single camera. In the local stage, a particle f...
CVPR
2009
IEEE
13 years 9 months ago
2009
IEEE
The IMage Euclidean Distance (IMED) is a class of image metrics, in which the spatial relationship between pixels is taken into consideration. It was shown that calculating the IM...
