CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Most of visual tracking algorithms have been achieved by matching-based searching strategies or detection-based data association algorithms. In this paper, our objective is to ana...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper presents an algorithm capable of real-time separation of foreground from background in monocular video sequences. Automatic segmentation of layers from colour/contrast ...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
We present a new method of fitting an element-free volumetric model to a sequence of deforming surfaces of a moving object. Given a sequence of visual hulls, we iteratively fit an...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Cloth modeling and recognition is an important and challenging problem in both vision and graphics tasks, such as dressed human recognition and tracking, human sketch and portrait...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
We describe a simple and robust method for surface mesostructure acquisition. Our method builds on the observation that specular reflection is a reliable visual cue for surface me...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Currently an abundance of historical manuscripts, journals, and scientific notes remain largely unaccessible in library archives. Manual transcription and publication of such docu...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper presents a method for capturing and computing 3D parallax. 3D parallax, as used here, refers to vertical offset from the ground plane, height. The method is based on an...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...