A Review on Point Cloud Semantic Segmentation Methods

Miniatura

Pliki

7_Review_point_Lazarek_2018.pdf (130.73 KB)

Data

2018

Autorzy

Tytuł czasopisma

ISSN czasopisma

Tytuł tomu

Wydawca

Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press

Abstrakt

Semantic segmentation of 3D point clouds is an open research problem and remains crucial for autonomous driving, robot navigation, human-computer interaction, 3D reconstruction and many others. The large scale of the data and lack of regular data organization make it a very complex task. Research in this field focuses on point cloud representation (e.g., 2D images, 3D voxels grid, graph) and segmentation techniques. In the paper, state-of-the-art approaches related to these tasks are presented.

Opis

Słowa kluczowe

point clouds, segmentation, classification, laser scanning, chmury punktów, segmentacja, klasyfikacja, skanowanie laserowe

Cytowanie

Lazarek, J., & Pryczek, M. (2018). A Review on Point Cloud Semantic Segmentation Methods. Journal of Applied Computer Science, 26(2), 99-106. https://doi.org/10.34658/jacs.2018.26.2.99-106

URI

http://hdl.handle.net/11652/3892
 https://doi.org/10.34658/jacs.2018.26.2.99-106

Kolekcje

2018, Tom 26 Nr 2
Artykuły (WFTIiMS)