[3Dp2-1] Study on Adaptive Sampling and Compression Coding of Point Cloud on Angularity for Human Recognition of Object Shape | Proceedings of the International Display Workshops Volume 31 (IDW '24)

Proceedings of the International Display Workshops Volume 31 (IDW '24)

Dec 4 - Dec 6, 2024Sapporo Convention Center

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Proceedings of the International Display Workshops Volume 31 (IDW '24)

Dec 4 - Dec 6, 2024Sapporo Convention Center

[3Dp2-1]Study on Adaptive Sampling and Compression Coding of Point Cloud on Angularity for Human Recognition of Object Shape

*Hideaki Kimata¹, Soshi Sugawara¹, Sakuichi Ohtsuka²(1. Kogakuin University (Japan), 2. International College of Technology, Kanazawa (Japan))

https://doi.org/10.36463/idw.2024.0783

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Keywords:

point cloud compression,point cloud sampling,shape recognition

The geometry of structures in real space is scanned and stored as a point cloud to be viewed in VR. Conventionally the degree of shape recognition of objects by humans was not sufficiently taken into account on sampling of point cloud. We propose an adaptive sampling and compression coding method to improve object shape recognition while suppressing code volume.

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