# Graph Signal Processing for Geometric Data and Beyond: Theory and Applications

@article{Hu2021GraphSP, title={Graph Signal Processing for Geometric Data and Beyond: Theory and Applications}, author={Wei Hu and Jiahao Pang and Xianming Liu and Dong Tian and Chia-Wen Lin and Anthony Vetro}, journal={ArXiv}, year={2021}, volume={abs/2008.01918} }

Geometric data acquired from real-world scenes, e.g., 2D depth images, 3D point clouds, and 4D dynamic point clouds, have found a wide range of applications including immersive telepresence, autonomous driving, surveillance, etc. Due to irregular sampling patterns of most geometric data, traditional image/video processing methodologies are limited, while Graph Signal Processing (GSP)---a fast-developing field in the signal processing community---enables processing signals that reside on…

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