Researchers use AI to add 4-D effects to movies

Researchers use AI to add 4-D effects to movies

6 years ago
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https://phys.org/news/2018-07-ai-d-effects-movies.html

"Usually the chair will shake, there can be splashing or some other kind of interaction while watching the film," says Yuhao Zhou, a fourth-year undergraduate in the Edward S. Rogers Sr. department of electrical & computer engineering, of the emerging entertainment. "Right now all these effects are created from the first phase of production. We'd like to automate this kind of process for movies that were not originally created for 4-D cinemas."

Zhou is working with Makarand Tapaswi, a U of T postdoctoral fellow of computer science, and Sanja Fidler, an assistant professor at U of T Mississauga's department of mathematical and computational sciences and the tri-campus graduate department of computer science. They recently had their work, Now You Shake Me: Towards Automatic 4-D Cinema, featured in a spotlight presentation at the Computer Vision and Pattern Recognition (CVPR) conference in Salt Lake City, Utah.

Researchers use AI to add 4-D effects to movies

Jul 6, 2018, 2:57pm UTC
https://phys.org/news/2018-07-ai-d-effects-movies.html > "Usually the chair will shake, there can be splashing or some other kind of interaction while watching the film," says Yuhao Zhou, a fourth-year undergraduate in the Edward S. Rogers Sr. department of electrical & computer engineering, of the emerging entertainment. "Right now all these effects are created from the first phase of production. We'd like to automate this kind of process for movies that were not originally created for 4-D cinemas." > Zhou is working with Makarand Tapaswi, a U of T postdoctoral fellow of computer science, and Sanja Fidler, an assistant professor at U of T Mississauga's department of mathematical and computational sciences and the tri-campus graduate department of computer science. They recently had their work, Now You Shake Me: Towards Automatic 4-D Cinema, featured in a spotlight presentation at the Computer Vision and Pattern Recognition (CVPR) conference in Salt Lake City, Utah.