一种基于曲率与置信度传播的视差估计方法
A Disparity Estimation Method Based on Curvature and Belief Propagation
查看参考文献21篇
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文摘
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常用的匹配代价容易受到光晕效应等复杂光学畸变的影响。文中通过对相机成像模型的分析,从理论上证明基于曲率的匹配代价对光晕具有较强的鲁棒性。提出一种在积分图像上对基于曲率的匹配代价进行计算的方法,有效提高算法速度。最后,将曲率约束引入到置信度传播算法正则项的设计中,抑制置信度在深度不连续区域之间的传递,防止过平滑现象的产生。实验结果验证文中方法的有效性。 |
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其他语种文摘
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The current widely used matching costs are sensitive to complex optical distortions, such as vignetting. By analyzing the camera model, the robustness of the curvature-based matching cost against the vignetting effect is proved. Then, the integral image is used to compute the curvature-based matching cost so that the speed of the algorithm is improved significantly. Finally, a regularization term is designed based on curvature constraint, and thus the over-smoothing of the disparity map is avoided by restricting the belief propagation in the depth discontinuity area. Experimental results verify the effectiveness of the proposed method. |
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来源
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模式识别与人工智能
,2013,26(12):1154-1160 【核心库】
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关键词
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视差估计
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曲率
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置信度传播
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光学畸变
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地址
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1.
中国科学院沈阳自动化研究所, 机器人学国家重点实验室, 沈阳, 110016
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湖南大学电气与信息工程学院, 长沙, 410082
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1003-6059 |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金资助项目
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文献收藏号
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CSCD:5028127
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