Method for compressing point cloud according to curvature standard

Guo, Hongyu; Liu, Yan

doi:10.1109/iciea.2019.8834356

Cited by 1 publication

(1 citation statement)

References 15 publications

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“…In addition, Guo et al, Tazir et al, and Thakur et al, respectively, chose curvature, color, distance, and other information to reduce the point cloud data [30][31][32].…”

Section: Reduction Methods Based On Geometric Featuresmentioning

confidence: 99%

High-Precision 3D Reconstruction for Small-to-Medium-Sized Objects Utilizing Line-Structured Light Scanning: A Review

2021

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Three-dimensional reconstruction technology has demonstrated broad application potential in the industrial, construction, medical, forestry, agricultural, and pastural sectors in the last few years. High-quality digital point cloud information exists to help researchers to understand objects and environments. However, current research mainly focuses on making adaptive adjustments to various scenarios and related issues in the application of this technology rather than looking for further improvements and enhancements based on technical principles. Meanwhile, a review of approaches, algorithms, and techniques for high-precision 3D reconstruction utilizing line-structured light scanning, which is analyzed from a deeper perspective of elementary details, is lacking. This paper takes the technological path as the logical sequence to provide a detailed summary of the latest development status of each key technology, which will serve potential users and new researchers in this field. The focus is placed on exploring studies reconstructing small-to-medium-sized objects, as opposed to performing large-scale reconstructions in the field.

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“…In addition, Guo et al, Tazir et al, and Thakur et al, respectively, chose curvature, color, distance, and other information to reduce the point cloud data [30][31][32].…”

Section: Reduction Methods Based On Geometric Featuresmentioning

confidence: 99%