阴影恢复形状算法是计算机视觉中的一个重要研究课题，该算法应用于织物三维表面重建，为客观评价织物起皱等级奠定了基础.提出了一种新的阴影恢复重建算法，并阐述了该算法的实现步骤和计算方法.先利用合成图象对算法进行迭代计算并验证，获得了较为准确的重建图象，然后再结合真实模板进行重建，重建准确度较高.同时说明了该算法可应用于真实织物的表面重建之中，并可从获得的织物三维轮廓数据中提取特征值，实验表明，这些特征值均可从不同侧面表征织物的褶皱程度，特征值与织物的褶皱程度基本呈线性相关

Shape from shading is an important research domain in the computer vision, this algorithm can be applied to fabric surface reconstruction, which is the base to evaluate fabric wrinkle degree objectively. A new algorithm of shape from shading is proposed in detail in this paper, including realization process and calculation method. According to reflection map equation, restrict qualification should be added to real image because of noise affection, the whole error expression can be gotten by using restrict qualification, for increasing iteration convergence, reflection map equation is linearization and boundary condition is taken initial value, the 3D surface shape can be gotten through iteration calculation. In detail, firstly, the synthetic image is selected to do iterate calculation, which can acquire the reconstructed image exactly, and then the real replica is imported to test this method, the precision of result is very high; this algorithm can be applied to reconstruct the shape of real fabric, the wrinkle feature parameters are proposed in this paper, which can be extracted from the 3D contour data of surface shape. The result shows that these feature values can reflect the fabric wrinkle degree from different sides; it has closely linear correlation between feature values and fabric wrinkle degree, which can be used to assess fabric wrinkle degree objectively.