Surface Reconstruction from Point Clouds: A Survey and a Benchmark

no code implementations • 5 May 2022 • Zhangjin Huang, Yuxin Wen, ZiHao Wang, Jinjuan Ren, Kui Jia

For example, while deep learning methods are increasingly popular, our systematic studies suggest that, surprisingly, a few classical methods perform even better in terms of both robustness and generalization; our studies also suggest that the practical challenges of misalignment of point sets from multi-view scanning, missing of surface points, and point outliers remain unsolved by all the existing surface reconstruction methods.

Benchmarking Surface Reconstruction