Learning to predict where humans look
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable option, models of saliency can be used to predict fixation locations. Most saliency approaches are based on bottom-up com...
Main Authors: | Judd, Tilke M., Ehinger, Krista A., Durand, Fredo, Torralba, Antonio |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2011
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Online Access: | http://hdl.handle.net/1721.1/62546 https://orcid.org/0000-0001-9919-069X https://orcid.org/0000-0003-4915-0256 |
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