Comparison of GPU-based Methods for Handling Point Cloud Occlusion


Spanish Computer Graphics Conference (CEIG 2021) pp. 43-46

Alfonso López-Ruiz; J.M. Jurado; Emilio-José Padrón; Carlos-Javier Ogayar-Anguita; Francisco R. Feito



Abstract

Three-dimensional point clouds have conventionally been used along with several sources of information. This fusion can be performed by projecting the point cloud into the image plane and retrieving additional data for each point. Nevertheless, the raw projection omits the occlusion caused by foreground surfaces, thus assigning wrong information to 3D points. For large point clouds, testing the occlusion of each point from every viewpoint is a time-consuming task. Hence, we propose several algorithms implemented in GPU and based on the use of z-buffers. Given the size of nowadays point clouds, we also adapt our methodologies to commodity hardware by splitting the point cloud into several chunks. Finally, we compare their performance through the response time.


DOI: 10.2312/ceig.20211364

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BibTeX
@inproceedings{Lopez2021,
author = {Alfonso L\'opez-Ruiz and Juan Manuel Jurado-Rodr\'iguez and Emilio Jos\'e Padr\'on and Carlos Javier Ogayar-Anguita and Francisco Ram\'on Feito-Higueruela},
title = {Comparison of GPU-based Methods for Handling Point Cloud Occlusion},
booktitle = {Spanish Computer Graphics Conference (CEIG 2021)},
pages = {43-46},
year = {2021},
address = {M\'alaga (España), 22-24 Septiembre},
doi = {10.2312/ceig.20211364},
isbn = {978-3-03868-160-1}
}