NDLI: Visual attention models for producing high fidelity graphics efficiently

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Visual attention models for producing high fidelity graphics efficiently

Content Provider	ACM Digital Library
Author	Cater, Kirsten Chalmers, Alan Maflioli, David
Abstract	Despite the ready availability of modern high performance graphics cards, the complexity of the scenes being modelled and the realism required of the images means that rendering high fidelity computer images is still simply not possible in a reasonable, let alone real-time. Knowing that it is a human that will be looking at the resultant images can be exploited to significantly reduce the computation time required for high fidelity graphical images, for although the human visual system is good, it does have limitations. The key is knowing where the user will be looking in the image.This paper describes high level task maps and low level saliency maps. For a large number of applications, these visual attention models can indeed determine where the user will be looking in scene with high accuracy. This information is then used to selectively render different parts of a complex scene at different qualities. We show that viewers performing a known visual task within the environment consistently fail to notice the difference in rendering quality between benchmark high quality images and the selectively rendered images that were rendered at a fraction of the computational cost.
Starting Page	39
Ending Page	45
Page Count	7
File Format	PDF
ISBN	158113861X
DOI	10.1145/984952.984960
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-04-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Saliency maps Task maps Realistic computer graphics Visual perception
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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