Visual importance-biased image synthesis animation
Author(s) -
Ross Brown,
Binh Pham,
Anthony Maeder
Publication year - 2003
Publication title -
qut eprints (queensland university of technology)
Language(s) - English
Resource type - Conference proceedings
ISBN - 1-58113-578-5
DOI - 10.1145/604471.604486
Subject(s) - computer science , animation , visualization , computer vision , computer graphics (images) , tracing , ray tracing (physics) , artificial intelligence , entertainment , image synthesis , computer animation , image (mathematics) , art , physics , quantum mechanics , visual arts , operating system
Present ray tracing algorithms are computationally intensive,\udrequiring hours of computing time for complex scenes. Our\udprevious work has dealt with the development of an overall\udapproach to the application of visual attention to progressive\udand adaptive ray-tracing techniques. The approach facilitates\udlarge computational savings by modulating the supersampling\udrates in an image by the visual importance of the region being\udrendered.\udThis paper extends the approach by incorporating temporal\udchanges into the models and techniques developed, as it is\udexpected that further efficiency savings can be reaped for\udanimated scenes. Applications for this approach include\udentertainment, visualisation and simulation
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom