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Entropy
Volume 25
Issue 4
10.3390/e25040635
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Review

A Survey on Deep Learning Based Segmentation, Detection and Classification for 3D Point Clouds

by
Prasoon Kumar Vinodkumar
1,
Dogus Karabulut
1,
Egils Avots
1,
Cagri Ozcinar
1 and
Gholamreza Anbarjafari
1,2,3,4,*
1
iCV Lab, Institute of Technology, University of Tartu, 50090 Tartu, Estonia
2
PwC Advisory, 00180 Helsinki, Finland
3
iVCV OÜ, 51011 Tartu, Estonia
4
Institute of Higher Education, Yildiz Technical University, Beşiktaş, Istanbul 34349, Turkey
*
Author to whom correspondence should be addressed.
Entropy 2023, 25(4), 635; https://doi.org/10.3390/e25040635
Submission received: 15 February 2023 / Revised: 28 March 2023 / Accepted: 4 April 2023 / Published: 10 April 2023
(This article belongs to the Topic Machine and Deep Learning)
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Abstract

The computer vision, graphics, and machine learning research groups have given a significant amount of focus to 3D object recognition (segmentation, detection, and classification). Deep learning approaches have lately emerged as the preferred method for 3D segmentation problems as a result of their outstanding performance in 2D computer vision. As a result, many innovative approaches have been proposed and validated on multiple benchmark datasets. This study offers an in-depth assessment of the latest developments in deep learning-based 3D object recognition. We discuss the most well-known 3D object recognition models, along with evaluations of their distinctive qualities.
Keywords: deep learning; 3D object recognition; 3D object segmentation; 3D object detection; 3D object classification deep learning; 3D object recognition; 3D object segmentation; 3D object detection; 3D object classification

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MDPI and ACS Style

Vinodkumar, P.K.; Karabulut, D.; Avots, E.; Ozcinar, C.; Anbarjafari, G. A Survey on Deep Learning Based Segmentation, Detection and Classification for 3D Point Clouds. Entropy 2023, 25, 635. https://doi.org/10.3390/e25040635

AMA Style

Vinodkumar PK, Karabulut D, Avots E, Ozcinar C, Anbarjafari G. A Survey on Deep Learning Based Segmentation, Detection and Classification for 3D Point Clouds. Entropy. 2023; 25(4):635. https://doi.org/10.3390/e25040635

Chicago/Turabian Style

Vinodkumar, Prasoon Kumar, Dogus Karabulut, Egils Avots, Cagri Ozcinar, and Gholamreza Anbarjafari. 2023. "A Survey on Deep Learning Based Segmentation, Detection and Classification for 3D Point Clouds" Entropy 25, no. 4: 635. https://doi.org/10.3390/e25040635

APA Style

Vinodkumar, P. K., Karabulut, D., Avots, E., Ozcinar, C., & Anbarjafari, G. (2023). A Survey on Deep Learning Based Segmentation, Detection and Classification for 3D Point Clouds. Entropy, 25(4), 635. https://doi.org/10.3390/e25040635

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