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。
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。
The key to the surface height calculation of pulse GTAW welding pool based on shape from shading (SFS) is to build up a surface model of welding pool.
利用从阴影恢复形状方法计算熔池表面高度的关键是建立熔池表面反射模型。
Methods of Restoration of Human Face illumination with Unknown Light Source and Shape from shading (SFS) have been introduced for illumination problems.
在光照问题上，提出了一种未知光源参数的人脸光照恢复方法和一种基于阴影形状的非对称的人脸光照归一化方法。
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)。
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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