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» Markov Random Field Models in Computer Vision
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CGA
2008
15 years 1 months ago
Depth-of-Field Blur Effects for First-Person Navigation in Virtual Environments
This paper studies the use of visual blur effects, i.e., blurring of parts of the image fed back to the user, for First-Person-Navigations in Virtual Environments (VE). First, we ...
Sébastien Hillaire, Anatole Lécuyer,...
ACMACE
2009
ACM
14 years 11 months ago
Facial caricature generation using a quadratic deformation model
In this paper we propose a novel approach for generating expressive caricatures from an input image. The novelty of this work comes from combining an Active Appearance Model facia...
Mohammad Obaid, D. Lond, Ramakrishnan Mukundan, Ma...
STOC
1995
ACM
126views Algorithms» more  STOC 1995»
15 years 5 months ago
A computational view of population genetics
This paper contributes tothe study of nonlinear dynamical systems from a computational perspective. These systems are inherently more powerful than their linear counterparts (such...
Yuval Rabani, Yuri Rabinovich, Alistair Sinclair
ICDAR
2009
IEEE
15 years 8 months ago
Spatial and Spectral Based Segmentation of Text in Multispectral Images of Ancient Documents
In this paper we propose a character segmentation method for multispectral images of ancient documents. Due to the low quality of the images the main idea of this study is to comb...
Martin Lettner, Robert Sablatnig
ICASSP
2011
IEEE
14 years 5 months ago
MRF-based automatic image ordering and its application to mosaicing
A fast and robust auto-sorting method for image ordering based on Markov Random Fields (MRF) is proposed. We present a specific MRF model for the ordering problem and use pairwis...
Ran Song, Yonghuai Liu, Yitian Zhao, Ralph R. Mart...