63 search results - page 8 / 13 » Face Detection and Synthesis Using Markov Random Field Model... |
80
Voted
ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Object detection is challenging partly due to the limited discriminative power of local feature descriptors. We amend this limitation by incorporating spatial constraints among ne...
CVPR
2011
IEEE
14 years 4 months ago
2011
IEEE
In this paper, we propose a novel framework to jointly recover the illumination environment and an estimate of the cast shadows in a scene from a single image, given coarse 3D geo...
92
Voted
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Previous pixel-level change detection methods either contain a background updating step that is costly for moving cameras (background subtraction) or can not locate object positio...