Surface height reconstruction from a single image (shape from shading) is an important research domain of computer vision.
由单目图像获得物体表面高度(由阴影恢复形状)是计算机视觉中的一个重要研究领域。
Focusing on the high error and time consuming of the algorithms for shape from shading (SFS), a fast viscosity solution algorithm of perspective SFS (PSFS-FVS) is proposed.
针对传统的从明暗恢复形状(SFS)算法存在误差大、耗时长的问题，提出了一种SFS的快速黏性解算法(PSFS - FVS)。
Shape from Shading (SFS) is one of crucial techniques in shape recovery in computer vision.
从明暗恢复形状(SFS)是计算机视觉中三维形状恢复问题的关键技术之一。
A discrete shape-from-shading (SFS) algorithm based on hybrid reflectance model is proposed.
提出了一种基于混合反射模型的由明暗恢复形状的离散算法。
A discrete shape-from-shading (SFS) algorithm based on hybrid reflectance model is proposed.
提出了一种基于混合反射模型的由明暗恢复形状的离散算法。
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