2012 | OriginalPaper | Chapter
Dynamic Compression of Curve-Based Point Cloud
Authors : Ismael Daribo, Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki, Shinsaku Hiura, Naoki Asada
Published in: Advances in Image and Video Technology
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
With the increasing demands for highly detailed 3D data, dynamic scanning systems are capable of producing 3D+t (
a.k.a.
4D) spatio-temporal models with millions of points recently. As a consequence, effective 4D geometry compression schemes are required to face the need to store/transmit the huge amount of data, in addition to classical static 3D data. In this paper, we propose a 4D spatio-temporal point cloud encoder via a curve-based representation of the point cloud, particularly well-suited for dynamic structured-light-based scanning systems, wherein a grid pattern is projected onto the surface object. The object surface is then naturally sampled in a series of curves, due to the grid pattern. This motivates our choice to leverage a curve-based representation to remove the spatial and temporal correlation of the sampled point along the scanning directions through a competitive-based predictive encoder that includes different spatio-temporal prediction modes. Experimental results show the significant gain obtained with the proposed method.