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» Illumination invariants based on Markov random fields
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CVPR
2011
IEEE
14 years 6 months ago
Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model
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...
Alexandros Panagopoulos, Chaohui Wang, Dimitris Sa...
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
14 years 9 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
ICPR
2002
IEEE
16 years 24 days ago
Face Detection and Synthesis Using Markov Random Field Models
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Sarat C. Dass, Anil K. Jain, Xiaoguang Lu
CORR
2006
Springer
76views Education» more  CORR 2006»
14 years 11 months ago
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
Martin J. Wainwright
ACCV
2009
Springer
15 years 6 months ago
Weighted Map for Reflectance and Shading Separation Using a Single Image
In real world, a scene is composed by many characteristics. Intrinsic images represent these characteristics by two components, reflectance (the albedo of each point) and shading (...
Sung-Hsien Hsieh, Chih-Wei Fang, Te-Hsun Wang, Chi...