针对传统双目以及多目在处理遮挡和弱纹理区域匹配效果差、稳健性低的问题，提出了一种基于极平面图像（EPI）对复杂、精细场景进行深度重建的算法。根据EPI 特殊的线性结构，提出一种交叉检测模型，有效地计算出EPI轮廓边缘，并将指数距离度量函数和距离权重系数相结合，得到轮廓边缘的深度。对于内部平坦区域，利用求得的深度作为先验，通过先验似然扩散策略将深度扩散到整个区域。整个算法在局部进行，不但保存了精确的轮廓边缘，同时也保证了无纹理区域深度的平滑性。测试结果表明，该算法在重建速度及质量上均优于原始方法。

In order to solve the problem that traditional two-frame and multi-view stereo matching have a poor effect and robustness in dealing with occlusion and low texture regions. A depth reconstruction algorithm based on epipolar plane image (EPI) is proposed to reconstruct complicated and fine scenes deeply. According to the special linear structure of EPI, a cross-detect model is proposed to detect the outlines of EPI, whose depth is computed by combining the exponent distance function and distance weight coefficient. The contour depth is used as a priori to the inner flat regions, and the priori likelihood is integrated into an energy function. The contour depth is propagated to the whole depth map by minimizing the energy function. The proposed algorithm is local, so it not only preserves the exact contour edge depth but also assures the smoothness of low texture regions. The test result shows that the proposed algorithm is superior to the primary in term of reconstruction speed and quality.