Neural Inverse Rendering for General Reflectance Photometric Stereo阅读
用于一般反射光度立体模型的逆渲染神经网络 摘要 我们提出了一种用于光度立体（Woodham，1980）的新型卷积神经网络体系结构，该问题是从在不同照明下观察到的多个图像中恢复3D对象表面法线的问题。尽管它在计算机视觉领域具有悠久的历史，但是对于具有未知的一般反射特性（BRDF）的表面，该问题仍然显示出基本的挑战。利用深层神经网络来学习复杂的反射模型是有前途的，但是由于难以获得准确的GroundTr
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相关文章
- 1. Photometric Stereo Using Sparse Bayesian Regression for General Diffuse Surfaces
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