论文标题
基于U-NET的网格点检测方法，用于结构化光系统
A grid-point detection method based on U-net for a structured light system
论文作者
论文摘要
准确检测投影模式的特征点在一声3D重建系统中起着极为重要的作用，尤其是对于使用网格模式的系统。为了解决此问题，本文提出了基于U-NET的网格点检测方法。设计了一个特定的数据集，其中包含使用两弹成像方法捕获的图像以及使用单发成像方法获取的图像。其中，将第一组的图像标记为地面真相图像，并以单次姿势捕获的姿势捕获的图像被切成小斑块，其大小为64x64像素，然后将其馈入训练集。第二组中图像的剩余是测试集。实验结果表明，与以前的方法相比，我们的方法可以以更高的精度实现更好的检测性能。
Accurate detection of the feature points of the projected pattern plays an extremely important role in one-shot 3D reconstruction systems, especially for the ones using a grid pattern. To solve this problem, this paper proposes a grid-point detection method based on U-net. A specific dataset is designed that includes the images captured with the two-shot imaging method and the ones acquired with the one-shot imaging method. Among them, the images in the first group after labeled as the ground truth images and the images captured at the same pose with the one-shot method are cut into small patches with the size of 64x64 pixels then feed to the training set. The remaining of the images in the second group is the test set. The experimental results show that our method can achieve a better detecting performance with higher accuracy in comparison with the previous methods.
