Adaptive fusion of shape from shading and photometric stereo

Mehmet Karaman, H. Ş. Bilge
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Abstract

So far, a lot of studies have been made in the areas of shape from shading (SFS) and photometric stereo. In these studies, different methods are usually applied separately. In some of these studies, different methods were combined to obtain better results. In this study, a new approach is proposed to combined adaptively the SFS and photometric stereo methods. The depth map obtained from the SFS approach is appropriate to bring out the details. In photometric stereo aproach, rough surface information is obtained better than the other approaches. In the proposed method, best features of both methods are combined in an appropriate manner. Errors in the depth map obtained from experimental studies were examined and it is seen that the proposed method works successfully.
自适应融合形状从阴影和光度立体
到目前为止,在形状阴影(SFS)和光度立体方面已经做了大量的研究。在这些研究中,通常分别使用不同的方法。在其中一些研究中,不同的方法被结合起来以获得更好的结果。本研究提出了一种自适应地将SFS与光度立体方法相结合的新方法。用SFS方法得到的深度图可以很好地显示细节。光度立体方法能较好地获得粗糙表面信息。在所提出的方法中,以适当的方式结合了两种方法的最佳特征。对实验研究得到的深度图误差进行了检验,结果表明该方法是有效的。
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