We propose a lossless compression algorithm for three-dimensional point data in graphics applications. In typical point representation, each point is treated as a sphere and its geometrical and normal data are stored in the hierarchical structure of bounding spheres. The proposed algorithm sorts child spheres according to their positions to achieve a higher coding gain for geometrical data. Also, the proposed algorithm compactly encodes normal data by exploiting high correlation between parent and child normals. Simulation results show that the proposed algorithm saves up to 60% of storage space.close1
International audienceWe present two learning-based methods for coding point clouds geometry. The tw...
Most point cloud compression methods operate in the voxel or octree domain which is not the original...
International audienceThis paper deals with the current trends of technologies which aim at represen...
A lossless compression algorithm of 3D point data is proposed in this work. QSplat is one of the eff...
In this paper, we propose adaptive and flexible quantization and compression algorithms for 3-D poin...
A geometry compression algorithm for 3-D QSplat data using vector quantization (VQ) is proposed in t...
this paper, we present a single-resolution technique for lossless compression of point-based 3D mode...
Abstract — In this paper we investigate the problem of lossless geometry compression of irregular-gr...
International audienceIn this paper, we address the challenging problem of the 3D point cloud compre...
In order to efficiently archive and transmit large 3D models, lossy and lossless compression methods...
International audienceThis paper presents a learning-based, lossless compression method for static p...
The presence of 3D sensors in hand-held or head-mounted smart devices has motivated many researchers...
Geometry compression concerns the representation of three-dimensional objects. The goal of geometry ...
A method of lossless geometry compression on the coordinates of the vertexes for grid model is prese...
The use of 3D data in mobile robotics applications provides valuable information about the robot’s e...
International audienceWe present two learning-based methods for coding point clouds geometry. The tw...
Most point cloud compression methods operate in the voxel or octree domain which is not the original...
International audienceThis paper deals with the current trends of technologies which aim at represen...
A lossless compression algorithm of 3D point data is proposed in this work. QSplat is one of the eff...
In this paper, we propose adaptive and flexible quantization and compression algorithms for 3-D poin...
A geometry compression algorithm for 3-D QSplat data using vector quantization (VQ) is proposed in t...
this paper, we present a single-resolution technique for lossless compression of point-based 3D mode...
Abstract — In this paper we investigate the problem of lossless geometry compression of irregular-gr...
International audienceIn this paper, we address the challenging problem of the 3D point cloud compre...
In order to efficiently archive and transmit large 3D models, lossy and lossless compression methods...
International audienceThis paper presents a learning-based, lossless compression method for static p...
The presence of 3D sensors in hand-held or head-mounted smart devices has motivated many researchers...
Geometry compression concerns the representation of three-dimensional objects. The goal of geometry ...
A method of lossless geometry compression on the coordinates of the vertexes for grid model is prese...
The use of 3D data in mobile robotics applications provides valuable information about the robot’s e...
International audienceWe present two learning-based methods for coding point clouds geometry. The tw...
Most point cloud compression methods operate in the voxel or octree domain which is not the original...
International audienceThis paper deals with the current trends of technologies which aim at represen...