将视差光滑性约束应用于边缘特征上，提出了边缘连续性约束，这一约束能去除误匹配点；
We proposed figure continuity constraints by applying disparity smoothness constraint in the edges extracted by our algorithm, which can eliminate the error matching;
通过引入视差梯度理论，提出了一种弱连续性约束，它表示相邻点的视差变化总在一定的范围之内。
Based on disparity gradient theory, a weak consistency constraint was proposed, which expressed that the disparity difference between neighbor points was always in certain range.
并针对图像的深度连续性约束，定义了一个反映图像自身特征的新能量函数，应用于图割算法，提高了视差计算精度。
Moreover, to improve the disparity accuracy, a novel energy function is well designed to restrict the depth-continuity of an image and applied to the Graph Cut algorithm to describe the image feature.
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