Efficient point rendering method using sequential level-of-detail

Authors:
Daniel Kang;Byeong-Seok Shin
Affiliations:
Department of Computer Science and Information Engineering, Inha University, Inchon, Rep. of Korea;Department of Computer Science and Information Engineering, Inha University, Inchon, Rep. of Korea
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Year:
2005

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Abstract

We propose an extension of sequential point trees, a data structure that allows adaptive rendering of point clouds completely on the graphics processor (GPU). Using a sequential level-of-detail selection, we exploited the programmable graphics pipeline for rendering of large data sets. By adding position and radius of parent node to all points in the sequence, hole and overdraw problems of the sequential point trees technique were resolved, and as a result better image quality and rendering performance were achieved.