4 papers
Lossless Compression of Point Cloud Sequences Using Sequence Optimized CNN Models
Emre Can Kaya, Ioan Tabus
We propose a new paradigm for encoding the geometry of point cloud sequences, where the convolutional neural network (CNN) which estimates the encoding distributions is optimized o…
Neural Network Modeling of Probabilities for Coding the Octree Representation of Point Clouds
Emre Can Kaya, Ioan Tabus
This paper describes a novel lossless point cloud compression algorithm that uses a neural network for estimating the coding probabilities for the occupancy status of voxels, depen…
Refining the bounding volumes for lossless compression of voxelized point clouds geometry
Emre Can Kaya, Sebastian Schwarz, Ioan Tabus
This paper describes a novel lossless compression method for point cloud geometry, building on a recent lossy compression method that aimed at reconstructing only the bounding volu…
On the Linear Programming Bound for Lee-codes
Helena Astola, Ioan Tabus
Finding the largest code with a given minimum distance is one of the most basic problems in coding theory. In this paper, we study the linear programming bound for codes in the Lee…