3 papers
cs.CV2022
Motion estimation and filtered prediction for dynamic point cloud attribute compression
Haoran Hong, Eduardo Pavez, Antonio Ortega +2
In point cloud compression, exploiting temporal redundancy for inter predictive coding is challenging because of the irregular geometry. This paper proposes an efficient block-base…
eess.IV2022
Fractional Motion Estimation for Point Cloud Compression
Haoran Hong, Eduardo Pavez, Antonio Ortega +2
Motivated by the success of fractional pixel motion in video coding, we explore the design of motion estimation with fractional-voxel resolution for compression of color attributes…
eess.IV2021
Cylindrical coordinates for LiDAR point cloud compression
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega
We present an efficient voxelization method to encode the geometry and attributes of 3D point clouds obtained from autonomous vehicles. Due to the circular scanning trajectory of s…