In this paper we present a method for fast surface reconstruction from large noisy datasets. Given an unorganized 3D point cloud, our algorithm recreates the underlying surface’s geometrical properties using data resampling and a robust triangulation algorithm in near realtime. For resulting smooth surfaces, the data is resampled with variable densities according to previously estimated surface curvatures. Incremental scans are easily incorporated into an existing surface mesh, by determining the respective overlapping area and reconstructing only the updated part of the surface mesh. The proposed framework is flexible enough to be integrated with additional point label information, where groups of points sharing the same label are clustered together and can be reconstructed separately, thus allowing fast updates via triangular mesh decoupling. To validate our approach, we present results obtained from laser scans acquired in both indoor and outdoor environments.

fast marching method

An Image Inpainting Technique Based on the Fast Marching Method 的文章和代码

引用于github的fast rcnn代码，实现论文中 的目标检测程序，安装readme进行安装即可

Getting Started with Kudu Perform Fast Analytics on Fast Data kudu第一书，数据分析。ok. 重金搞来。

此训练模型为tensorflow下faster-rcnn已经训练好的模型。由于google下载的链接很慢，所以为大家提供资源。

Fast Fourier Transform and Its Applications 作者：E. Brigham 学习傅立叶变换的一本好书

RCNN Fast-RCNN Faster-RCNN Mask-RCNN系列论文 RCNN Fast-RCNN Faster-RCNN Mask-RCNN系列论文

快速行进算法（fast marching）完整的运行部分和函数输入变量的说明。采用了三种Fast Marching方法，包括传统的一阶fast marching方法、二阶msfm方法、和matlab工具箱方法。文档说明可参考博客：https://blog.csdn.net/lusongno1/article/details/88409735。

Network Algorithmics --An Interdisciplinary Approach to Designing Fast Networked Devices by George Varghese University of California, San Diego