作　　者： ; ; ; ;

机构地区： 中国科学院沈阳自动化研究所

出　　处： 《模式识别与人工智能》 2013年第12期1154-1160,共7页

摘　　要： 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. 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.

关 键 词： 视差估计 曲率 置信度传播 光学畸变

领　　域： [自动化与计算机技术] [自动化与计算机技术]