一种基于曲率与置信度传播的视差估计方法

摘要

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.%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。