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ICCV
2009
IEEE
1048views Computer Vision» more  ICCV 2009»
16 years 5 months ago
Face Recognition With Contiguous Occlusion Using Markov Random Fields
Partially occluded faces are common in many applications of face recognition. While algorithms based on sparse representation have demonstrated promising results, they achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...
103
Voted
CVPR
2006
IEEE
16 years 2 months ago
The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects
This paper addresses the problem of detecting and segmenting partially occluded objects of a known category. We first define a part labelling which densely covers the object. Our ...
John M. Winn, Jamie Shotton
99
Voted
ICPR
2002
IEEE
16 years 1 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
117
Voted
ESANN
2006
15 years 2 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
86
Voted
DPHOTO
2009
126views Hardware» more  DPHOTO 2009»
14 years 10 months ago
Measuring texture sharpness of a digital camera
A method for evaluating texture quality as shot by a camera is presented. It is shown that usual sharpness measurements are not completely satisfying for this task. A new target b...
Frédéric Cao, Frederic Guichard, Her...