2019Journal of Spatial ScienceRequires access

Direct 3D coordinate transformation based on the affine invariance of barycentric coordinates

Hefeng Liu, Yi Fang

Open publisher page 7 citations

Abstract

Coordinate transformation is indispensable to unify the three-dimensional (3D) points between different coordinate systems. Traditional methods are generally two-step work: transformation parameter estimation and coordinate transformation. Unlike traditional methods, this paper proposes a direct 3D coordinate transformation method based on the affine invariance of barycentric coordinates. The proposed method avoids solving transformation parameters and requires neither the initial values nor the iterations. Experiments based on LiDAR point cloud registration and coordinate transformation demonstrate that the proposed method can reach or even outperform traditional methods, and is suitable for both similarity and affine transformation of 3D points with strong anisotropic scaling.

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What this paper is about

Coordinate transformation is indispensable to unify the three-dimensional (3D) points between different coordinate systems. Traditional methods are generally two-step work: transformation parameter estimation and coordinate transformation. Unlike traditional methods, this paper proposes a direct 3D coordinate transformation method based on the affine invariance of barycentric coordinates. The proposed method avoids solving transformation parameters and requires neither the initial values nor the iterations. Experiments based on LiDAR point cloud registration and coordinate transformation demonstrate that the proposed method can reach or even outperform traditional methods, and is suitable for both similarity and affine transformation of 3D points with strong anisotropic scaling.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Coordinate transformation is indispensable to unify the three-dimensional (3D) points between different coordinate systems. Traditional methods are generally two-step work: transformation parameter estimation and coordinate transformation. Unlike traditional methods, this paper proposes a direct 3D coordinate transformation method based on the affine invariance of barycentric coordinates. The proposed method avoids solving transformation parameters and requires neither the initial values nor the iterations. Experiments based on LiDAR point cloud registration and coordinate transformation demonstrate that the proposed method can reach or even outperform traditional methods, and is suitable for both similarity and affine transformation of 3D points with strong anisotropic scaling.

Key concepts: Barycentric coordinate system, Affine transformation, Coordinate system, Affine coordinate system, Transformation (genetics), Curvilinear coordinates, Matrix similarity, Point cloud

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