263 search results - page 40 / 53 » Iterative MAP and ML Estimations for Image Segmentation |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper proposes a system to relate objects in an image using occlusion cues and arrange them according to depth. The system does not rely on any a priori knowledge of the scen...
ACCV
2007
Springer
14 years 2 months ago
2007
Springer
Depth from defocus (DFD) is a 3D recovery method based on estimating the amount of defocus induced by finite lens apertures. Given two images with different camera settings, the ...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
This paper presents a fast, accurate, and novel method for the problem of estimating the number of humans and their positions from background differenced images obtained from a si...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Illumination inconsistencies cause serious problems for classical computer vision applications such as tracking and stereo matching. We present a new approach to model illuminatio...