TY - GEN
T1 - Model for the optimization of the rendering process, the reduction of workflow and carbon footprint
AU - González-Restrepo, Felipe
AU - Rodríguez-Acevedo, Jorge Andrés
AU - Ibarra-Vargas, Sara B.
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Renders or digital images of high quality and visual effect based on a 3D model or scenes made in a specialized computer program are generated along the chain of realization of animation products. A render is generated from a series of calculations between formulas and algorithms on the model that simulate the bounces of light rays on 3D objects in the scene and software that performs a Raytracing or tracking of the surfaces generated through a virtual camera that is integrated into the process. A 3D superior or production animation product would imply extensive rendering times, which is expressed in project costs per machine use. The carbon footprint of CO2 emissions imply on animation projects has been poorly or non explored, so this document presents an empirical experience that puts on the table a free and efficient alternative to optimize rendering processes in digital animation projects based on local machine adjustment and measurement techniques aimed at reducing carbon footprint, process flow and labor costs.
AB - Renders or digital images of high quality and visual effect based on a 3D model or scenes made in a specialized computer program are generated along the chain of realization of animation products. A render is generated from a series of calculations between formulas and algorithms on the model that simulate the bounces of light rays on 3D objects in the scene and software that performs a Raytracing or tracking of the surfaces generated through a virtual camera that is integrated into the process. A 3D superior or production animation product would imply extensive rendering times, which is expressed in project costs per machine use. The carbon footprint of CO2 emissions imply on animation projects has been poorly or non explored, so this document presents an empirical experience that puts on the table a free and efficient alternative to optimize rendering processes in digital animation projects based on local machine adjustment and measurement techniques aimed at reducing carbon footprint, process flow and labor costs.
KW - Carbon footprint
KW - Digital animation
KW - Render optimization
UR - https://www.scopus.com/pages/publications/85092128753
U2 - 10.1007/978-3-030-60152-2_7
DO - 10.1007/978-3-030-60152-2_7
M3 - Conference contribution
AN - SCOPUS:85092128753
SN - 9783030601515
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 88
EP - 94
BT - HCI International 2020 – Late Breaking Papers
A2 - Stephanidis, Constantine
A2 - Salvendy, Gavriel
A2 - Wei, June
A2 - Yamamoto, Sakae
A2 - Mori, Hirohiko
A2 - Meiselwitz, Gabriele
A2 - Nah, Fiona Fui-Hoon
A2 - Siau, Keng
PB - Springer Science and Business Media Deutschland GmbH
T2 - 22nd International Conference on Human Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -