Photometric stereo with non-parametric and spatially-varying reflectance
Photometric stereo with non-parametric and spatially-varying reflectance
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DOI：
10.1109/cvpr.2008.4587656
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发表时间：
2008-06
期刊：
影响因子：
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通讯作者：
N. Alldrin;Todd E. Zickler;D. Kriegman
中科院分区：
文献类型：
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作者：
N. Alldrin;Todd E. Zickler;D. Kriegman
我们提出了一种方法，同时恢复形状和空间变化的反射率的表面光度立体图像。我们的方法的显着特点是它的通用性;它不依赖于一个特定的参数反射模型，因此纯粹是ldquodata-drivenrdquo。这是通过采用新颖的双变量近似的各向同性反射函数。通过将这种新的近似与光度立体的最新发展相结合，我们能够同时估计每个点的独立表面法线，一组全局非参数ldquobasis materialrdquo BRDF和每点材料权重。我们的实验结果验证了该方法，并证明了一般的非参数外观捕捉的双变量反射函数的效用。
We present a method for simultaneously recovering shape and spatially varying reflectance of a surface from photometric stereo images. The distinguishing feature of our approach is its generality; it does not rely on a specific parametric reflectance model and is therefore purely ldquodata-drivenrdquo. This is achieved by employing novel bi-variate approximations of isotropic reflectance functions. By combining this new approximation with recent developments in photometric stereo, we are able to simultaneously estimate an independent surface normal at each point, a global set of non-parametric ldquobasis materialrdquo BRDFs, and per-point material weights. Our experimental results validate the approach and demonstrate the utility of bi-variate reflectance functions for general non-parametric appearance capture.