DICTA
2009
13 years 4 months ago
2009
In this paper we propose a novel appearance descriptor for 3D human pose estimation from monocular images using a learning-based technique. Our image-descriptor is based on the int...
DICTA
2009
13 years 4 months ago
2009
Local features are gaining popularity due to their robustness to occlusion and other variations such as minor deformation. However, using local features for recognition of biometri...
DICTA
2009
13 years 4 months ago
2009
A number of problems in computer vision require the estimation of a set of matrices, each of which is defined only up to an individual scale factor and represents the parameters of...
DICTA
2009
13 years 4 months ago
2009
Soft biometrics are characteristics that can be used to describe, but not uniquely identify an individual. These include traits such as height, weight, gender, hair, skin and cloth...
DICTA
2009
13 years 7 months ago
2009
Abstract--Context plays a valuable role in any image understanding task confirmed by numerous studies which have shown the importance of contextual information in computer vision t...
DICTA
2009
13 years 7 months ago
2009
This paper shows that most surveillance cameras fall well short of providing sufficient image quality, in both spatial resolution and colour reproduction, for the reliable identifi...
DICTA
2009
13 years 7 months ago
2009
Images captured in foggy weather conditions exhibit losses in quality which are dependent on distance. If the depth and atmospheric conditions are known, one can enhance the images...
DICTA
2009
13 years 7 months ago
2009
Abstract--Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segmen...
DICTA
2009
13 years 7 months ago
2009
Abstract--The relationship between multiple cameras viewing the same scene may be discovered automatically by finding corresponding points in the two views and then solving for the...
DICTA
2009
13 years 7 months ago
2009
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...