点云
纹理压缩
计算机视觉
压缩(物理)
计算机科学
曲面重建
数据压缩
投影(关系代数)
墨卡托投影
人工智能
沃罗诺图
纹理映射
点(几何)
计算机图形学(图像)
算法
图像压缩
几何学
数学
曲面(拓扑)
图像处理
地理
图像(数学)
材料科学
大地测量学
复合材料
作者
Emil Dumić,Anamaria Bjelopera,Andreas Nüchter
出处
期刊:Sensors
[MDPI AG]
日期:2021-12-28
卷期号:22 (1): 197-197
被引量:9
摘要
In this paper we will present a new dynamic point cloud compression based on different projection types and bit depth, combined with the surface reconstruction algorithm and video compression for obtained geometry and texture maps. Texture maps have been compressed after creating Voronoi diagrams. Used video compression is specific for geometry (FFV1) and texture (H.265/HEVC). Decompressed point clouds are reconstructed using a Poisson surface reconstruction algorithm. Comparison with the original point clouds was performed using point-to-point and point-to-plane measures. Comprehensive experiments show better performance for some projection maps: cylindrical, Miller and Mercator projections.
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