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The current 3D point cloud feature extraction algorithms are mostly based on geometric features of points. And the distribution of feature points is so messy to accurately locate. This paper proposes a point cloud feature extraction algorithm using 2D-3D transformation. By selecting three pairs of 2D image and 3D point cloud feature points, the conversion matrix of image and point cloud coordinates is calculated to establish a mapping relationship and then we realize the extraction of point cloud features. Experimental results show that compared with other algorithms, the algorithm proposed in this paper can extract the detailed features of point cloud more accurately.
Hui Chen andDongge Sun
"Feature extraction of point cloud using 2D-3D transformation", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 117200P (27 January 2021); https://doi.org/10.1117/12.2589441
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Hui Chen, Dongge Sun, "Feature extraction of point cloud using 2D-3D transformation," Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 117200P (27 January 2021); https://doi.org/10.1117/12.2589441