Intrinsic image decomposition with non-local texture cues
Intrinsic image decomposition with non-local texture cues
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DOI：
10.1109/cvpr.2008.4587660
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发表时间：
2008-06
期刊：
影响因子：
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通讯作者：
Li Shen;P. Tan;Stephen Lin
中科院分区：
文献类型：
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作者：
Li Shen;P. Tan;Stephen Lin
我们提出了一种方法分解成其固有的反射率和阴影分量的图像。与以前的工作不同，我们的方法检查纹理信息，以获得约束的像素之间的反射率，可能是彼此远离的图像。我们观察到，具有相同强度归一化纹理配置的不同点通常具有相同的反射率值。因此，阴影和反射分量的分离应该以保证这些非局部约束的方式来执行。我们制定内在的图像分解，通过添加这些非局部纹理约束的局部导数分析采用传统的技术。我们的研究结果表明，性能显着改善，更好地恢复全局反射率和阴影结构比以前的方法。
We present a method for decomposing an image into its intrinsic reflectance and shading components. Different from previous work, our method examines texture information to obtain constraints on reflectance among pixels that may be distant from one another in the image. We observe that distinct points with the same intensity-normalized texture configuration generally have the same reflectance value. The separation of shading and reflectance components should thus be performed in a manner that guarantees these non-local constraints. We formulate intrinsic image decomposition by adding these non-local texture constraints to the local derivative analysis employed in conventional techniques. Our results show a significant improvement in performance, with better recovery of global reflectance and shading structure than by previous methods.