FACS at 40
| Autor: | Mike Seymour |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Cognitive science
0209 industrial biotechnology Facial expression 02 engineering and technology Animation Facial Action Coding System Computer graphics Nonverbal behavior 020901 industrial engineering & automation 020204 information systems 0202 electrical engineering electronic engineering information engineering Psychology Computer facial animation Coding (social sciences) |
| Zdroj: | ACM SIGGRAPH 2019 Panels. |
| DOI: | 10.1145/3306212.3328132 |
| Popis: | Creating emotionally impactful characters has been one of the biggest challenges in computer graphics. Key to this has been understanding how faces express emotion. In 1978 research started in coding human expressions. The Facial Action Coding System (FACS) would become one of the cornerstones of facial animation of digital characters. Today FACS is recognized as the gold standard in scientific facial research and animation. Forty years on, we discuss the strengths and limitations of FACS, its relevance in the age of Machine Learning and what people are doing to improve upon FACS in animation.The panel features leading experts: J.P. Lewis, Erika Rosenberg, Vladimir Mastilovic, Mark Sagar and hosted by Mike Seymour. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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