[1]陈海峰,叶桦,陈维南.鲁棒估计算子在低层视觉中应用的研究[J].东南大学学报(自然科学版),1999,29(2):100-104.[doi:10.3969/j.issn.1001-0505.1999.02.019]
 Chen Haifeng,Ye Hua,Chen Weinan.Application of Robust Estimators in Low Level Vision[J].Journal of Southeast University (Natural Science Edition),1999,29(2):100-104.[doi:10.3969/j.issn.1001-0505.1999.02.019]
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鲁棒估计算子在低层视觉中应用的研究()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
29
期数:
1999年第2期
页码:
100-104
栏目:
计算机科学与工程
出版日期:
1999-03-20

文章信息/Info

Title:
Application of Robust Estimators in Low Level Vision
作者:
陈海峰 叶桦 陈维南
东南大学自动化研究所, 南京 210096
Author(s):
Chen Haifeng Ye Hua Chen Weinan
Institute of Automation, Southeast University, Nanjing 210096
关键词:
马尔可夫随机场 低层视觉 鲁棒估计 平滑 光流
Keywords:
MRF low level vision robust estimation smooth optical flow
分类号:
TP391
DOI:
10.3969/j.issn.1001-0505.1999.02.019
摘要:
马尔可夫随机场模型已成功地应用于计算机低层视觉处理领域,在用MRF建模的过程中引入鲁棒估计算子能增强模型的可靠性,从而提高解的准确性. 鲁棒算子在MRF建模中具有双重作用,它不仅能减少观测数据中出格点的影响,而且能应用在信号的平滑约束中,达到根据信号局部特征自适应平滑的效果. 最后通过光流场估计的实验验证了作者的结论.
Abstract:
Recently Markov Random Fields (MRF) theory has been applied into many low level vision problems. In this correspondence we argue that if the robust estimators are used in the MRF based modeling, we can improve the reliance of the model and the accuracy of the solution. The robust estimators can reduce the influence of outliers. They also contribute to the discontinuous adaptive signal smoothing techniques. Finally the experiments of optical flow estimation have proved our conclusion.

参考文献/References:

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备注/Memo

备注/Memo:
第一作者:男,1975年生,博士研究生.
更新日期/Last Update: 1999-03-20