光学学报, 2020, 40 (9): 0915001, 网络出版: 2020-05-06   

基于引导图像和自适应支持域的立体匹配 下载: 1234次

Stereo Matching Based on Guidance Image and Adaptive Support Region
作者单位
四川大学计算机学院, 四川 成都 610065
摘要
提出一种基于引导图像和自适应支持域的局部立体匹配算法。首先对校正后的输入图像进行预处理得到引导图像;在匹配代价计算阶段,提出一种梯度计算方法,结合引导图像和输入图像的梯度信息,分别计算x和y方向的梯度,再与AD(absolute difference)和Census变换融合构建匹配代价计算函数;在代价聚合阶段,使用基于自适应支持域的导向滤波;在视差细化阶段,提出一套基于自适应支持域的多步细化方法,通过该方法得到最终的视差图。实验结果表明,视差细化后全部区域的平均误差和方均根误差平均减少43.7%和38%,非遮挡区域平均减少33.7%和30.9%,所提算法具有较好的鲁棒性并能获得精度较高的视差结果。
Abstract
In this study, we propose a local stereo matching algorithm based on guidance images and an adaptive support region. First,the guidance images can be obtained by preprocessing the rectified input images. During the matching cost calculation stage, we propose a gradient calculation method, which combines the gradient information of the guidance and input images to calculate the gradients along the x and y directions, respectively, and subsequently integrates the absolute difference (AD) and the Census transform to develop a matching cost calculation function. Further, we use a guided filter based on the adaptive support region during the cost aggregation stage. During the disparity refinement stage, a multi-step refinement method is proposed based on the adaptive support region and then the final disparity map is obtained. The experimental results prove that after disparity refinement, the average error (Avgerr) and root-mean-square error (RMSE) are reduced by 43.7% and 38% respectively for all the regions and by 33.7% and 30.9% for the non-occluded regions. The proposed algorithm exhibits improved robustness and can be used to obtain high precision disparity results.

孔令寅, 朱江平, 应三丛. 基于引导图像和自适应支持域的立体匹配[J]. 光学学报, 2020, 40(9): 0915001. Lingyin Kong, Jiangping Zhu, Sancong Ying. Stereo Matching Based on Guidance Image and Adaptive Support Region[J]. Acta Optica Sinica, 2020, 40(9): 0915001.

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