Real-Time Interpolated Rendering of Terrain Point Cloud Data.

Jaka Kordež; Matija Marolt; Ciril Bohak

doi:10.3390/s23010072

Real-Time Interpolated Rendering of Terrain Point Cloud Data.

Jaka Kordež, Matija Marolt, Ciril Bohak

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Most real-time terrain point cloud rendering techniques do not address the empty space between the points but rather try to minimize it by changing the way the points are rendered by either rendering them bigger or with more appropriate shapes such as paraboloids. In this work, we propose an alternative approach to point cloud rendering, which addresses the empty space between the points and tries to fill it with appropriate values to achieve the best possible output. The proposed approach runs in real time and outperforms several existing point cloud rendering techniques in terms of speed and render quality.

Original language	English (US)
Pages (from-to)	72
Journal	Sensors (Basel, Switzerland)
Volume	23
Issue number	1
DOIs	https://doi.org/10.3390/s23010072
State	Published - Dec 21 2022

Bibliographical note

KAUST Repository Item: Exported on 2023-01-11
Acknowledgements: The authors would like to thank the Slovenian Environmental Agency for providing the data which were used in the experiments.

ASJC Scopus subject areas

Biochemistry
Atomic and Molecular Physics, and Optics
Analytical Chemistry
Electrical and Electronic Engineering

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10.3390/s23010072

https://repository.kaust.edu.sa/bitstream/10754/686911/1/sensors-23-00072-v4.pdf

Cite this

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title = "Real-Time Interpolated Rendering of Terrain Point Cloud Data.",

abstract = "Most real-time terrain point cloud rendering techniques do not address the empty space between the points but rather try to minimize it by changing the way the points are rendered by either rendering them bigger or with more appropriate shapes such as paraboloids. In this work, we propose an alternative approach to point cloud rendering, which addresses the empty space between the points and tries to fill it with appropriate values to achieve the best possible output. The proposed approach runs in real time and outperforms several existing point cloud rendering techniques in terms of speed and render quality.",

author = "Jaka Korde{\v z} and Matija Marolt and Ciril Bohak",

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AU - Kordež, Jaka

AU - Marolt, Matija

AU - Bohak, Ciril

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N2 - Most real-time terrain point cloud rendering techniques do not address the empty space between the points but rather try to minimize it by changing the way the points are rendered by either rendering them bigger or with more appropriate shapes such as paraboloids. In this work, we propose an alternative approach to point cloud rendering, which addresses the empty space between the points and tries to fill it with appropriate values to achieve the best possible output. The proposed approach runs in real time and outperforms several existing point cloud rendering techniques in terms of speed and render quality.

AB - Most real-time terrain point cloud rendering techniques do not address the empty space between the points but rather try to minimize it by changing the way the points are rendered by either rendering them bigger or with more appropriate shapes such as paraboloids. In this work, we propose an alternative approach to point cloud rendering, which addresses the empty space between the points and tries to fill it with appropriate values to achieve the best possible output. The proposed approach runs in real time and outperforms several existing point cloud rendering techniques in terms of speed and render quality.

UR - http://hdl.handle.net/10754/686911

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JO - Sensors (Basel, Switzerland)

JF - Sensors (Basel, Switzerland)

IS - 1

ER -

Real-Time Interpolated Rendering of Terrain Point Cloud Data.

Abstract

Bibliographical note

ASJC Scopus subject areas

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