TY - JOUR
T1 - An accelerated rendering scheme for massively large point cloud data
AU - Baek, Nakhoon
AU - Yoo, Kwan Hee
N1 - Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - In the field of large-scale data visualization, the graphics rendering speed is one of the most important factors for its application development. Since the large-scale data visualization usually requires three-dimensional representations, the three-dimensional graphics libraries such as OpenGL and DirectX have been widely used. In this paper, we suggest a new way of accelerated rendering, through directly using the direct rendering manager packets. Current three-dimensional graphics features are focused on the efficiency of general purpose rendering pipelines. In contrast, we concentrated on the speed-up of the special-purpose rendering pipeline, for point cloud rendering. Our result shows that we achieved our purpose effectively.
AB - In the field of large-scale data visualization, the graphics rendering speed is one of the most important factors for its application development. Since the large-scale data visualization usually requires three-dimensional representations, the three-dimensional graphics libraries such as OpenGL and DirectX have been widely used. In this paper, we suggest a new way of accelerated rendering, through directly using the direct rendering manager packets. Current three-dimensional graphics features are focused on the efficiency of general purpose rendering pipelines. In contrast, we concentrated on the speed-up of the special-purpose rendering pipeline, for point cloud rendering. Our result shows that we achieved our purpose effectively.
KW - Direct rendering manager
KW - Graphics acceleration
KW - Large-scale data visualization
KW - Point rendering
UR - http://www.scopus.com/inward/record.url?scp=85077085713&partnerID=8YFLogxK
U2 - 10.1007/s11227-019-03114-y
DO - 10.1007/s11227-019-03114-y
M3 - Article
AN - SCOPUS:85077085713
SN - 0920-8542
VL - 76
SP - 8313
EP - 8323
JO - Journal of Supercomputing
JF - Journal of Supercomputing
IS - 10
ER -