A shape-from-shading method based on surface reflectance component estimation

A shape-from-shading method based on surface reflectance component estimation
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DOI:
10.1109/fskd.2012.6234361
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发表时间:
2012-05
期刊:
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery
影响因子:
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通讯作者:
Jiquan Ma;Peng Zhao;B. Gong
Jiquan Ma;Peng Zhao;B. Gong
中科院分区:
其他
文献类型:
--
作者:
Jiquan Ma;Peng Zhao;B. Gong

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采用形状-从阴影(SFS)技术,仅从一个灰度级图像重建三维形状。为克服传统SFS方法依赖于Lambertian反射模型假设的缺点,首先引入混合反射模型,并将其应用于SFS方法中。其次。为了确定混合反射模型中不同反射分量的比例,提出了一种基于模拟退火算法的计算方法。在这里,我们把这个比例描述为反射概率。实验结果表明,该方法在合成图像和真实图像上都有较好的效果。提高了形状恢复的精度。
Shape-from-shading (SFS) technology is used to reconstruct a 3D shape from only one gray level image. To overcome the disadvantage existing in conventional SFS method, which relies on the assumption of Lambertian reflectance model, hybrid reflectance model is introduced firstly and then is applied on SFS method. Secondly. In order to define the proportion of different reflectance components in hybrid reflectance model, we have developed a new computing method based on simulated annealing algorithm. Here, we describe the proportion as reflectance probability. Finally, Experimental results reveal that the proposed method shows better performance both on synthetic and real images. The accuracy of the shape recovery is increased.