1135 search results - page 152 / 227 » A probabilistic framework for image segmentation |
CVPR
2010
IEEE
14 years 2 months ago
2010
IEEE
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principle...
ICIP
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, we present a new solution to the problem of matching tracking sequences across different cameras. Unlike snapshot-based appearance matching which matches objects by...
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
CAIP
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. We propose a framework for fast and automated initialization of segmentation algorithms in Computed Tomography images. Based on the idea that time-consuming voxel classiï...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...