3 papers
cs.CV2022
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…
cs.CV2021
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…
cs.CV2021
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…