417 search results - page 56 / 84 » Supervised Image Segmentation Using Markov Random Fields |
ACCV
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. In this paper we give a new model for foreground-background-shadow separation. Our method extracts the faithful silhouettes of foreground objects even if they have partly...
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ICIP
2001
IEEE
16 years 1 months ago
2001
IEEE
This paper introduces multi-scale tree-based approaches to image segmentation, using Rissanen's coding theoretic minimum description length (MDL) principle to penalize overly...
EMMCVPR
2005
Springer
2005
Springer
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
15 years 5 months ago
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
ICIP
1995
IEEE
16 years 1 months ago
1995
IEEE
In this paper, we address the problem of color image restoration. Here, we model the image as a Markov Random Field (MRF) and propose a restoration algorithm in a multiresolution ...
ICPR
2006
IEEE
16 years 27 days ago
2006
IEEE
In this paper we propose a novel technique to image completion that addresses image renaissance through a graph-based matching process. To this end, a number of candidate seeds wi...