论文阅读笔记《Convolutional Neural Networks for Steel Surface Defect Detection from Photometric Stereo》
小样本学习&元学习经典论文整理||持续更新 核心思想 本文提出一种使用光度立体图像（Photometric Stereo Images）对钢轨表面缺陷进行检测的方法，关于光度立体图像我没找到特别详细的介绍，大体的概念是被拍摄的物体保持不动，光源会移动到多个位置，分别拍摄照片。根据图像中高光部分和阴影部分的变化，来获取物体的3D信息。但本文构建的图像采集装置似乎不是这样实现的，该装置的示意图如下
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- 1. 论文阅读笔记《A High-Efficiency Fully Convolutional Networks for Pixel-Wise Surface Defect Detection》
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