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.

用GlSurfaceView 实现了相机Camera预览功能，相较于SurfaceView实现相机功能来说，使用GlSurfaceView的方式可以更方便地使用Opengl对预览数据进行处理，从而实现滤镜的效果

超级好用的surface工具，修复系统软件，检测各部分硬件功能齐全。

Curve and Surface Fitting with Splines 具体描述了利用spline样条如何进行曲线的拟合问题，该书同样描述了利用spline样条进行曲面拟合的方法问题，仅供参考，谢谢

代码为博客的实例代码，http://blog.csdn.net/lmj623565791/article/details/43063331 有问题，请博客留言

这个代码是图形学的作业的集合，里面实现了网格的两种实现极小曲面的方法，分别是局部迭代法和全局法。接下来是实现网格的参数化，用了三种参数化方法，分别是uniform parameterization、specific parameterization、shape-preserved parameterization以及最后的纹理贴图映射。

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