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PR
2007
102views more  PR 2007»
15 years 6 months ago
A robust incremental learning framework for accurate skin region segmentation in color images
In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn ...
Bin Li, Xiangyang Xue, Jianping Fan
CRV
2009
IEEE
186views Robotics» more  CRV 2009»
15 years 9 months ago
Optical Flow from Motion Blurred Color Images
This paper presents an algorithm for the estimation of optical flow from a single, motion-blurred, color image. The proposed algorithm is based on earlier work that estimated the...
Yasmina Schoueri, Milena Scaccia, Ioannis M. Rekle...
CVPR
2008
IEEE
16 years 1 months ago
Stereoscopic inpainting: Joint color and depth completion from stereo images
We present a novel algorithm for simultaneous color and depth inpainting. The algorithm takes stereo images and estimated disparity maps as input and fills in missing color and d...
Liang Wang, Hailin Jin, Ruigang Yang, Minglun Gong
PREMI
2009
Springer
16 years 1 months ago
Unsupervised Color Image Segmentation Using Compound Markov Random Field Model
Abstract. In this paper, we propose an unsupervised color image segmentation scheme using homotopy continuation method and Compound Markov Random Field (CMRF) model. The proposed s...
Sucheta Panda, P. K. Nanda
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
15 years 11 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong