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Updated: Oct 7, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression
Emil Dumic1, Anamaria Bjelopera2, Andreas Nüchter3
1Department of Electrical Engineering, University North, 104. Brigade 3, 42000 Varaždin, Croatia.
Abstract:
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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