Relevant content for the tag: emotionexpression
Bringing together an interdisciplinary team, we created a wholly new AI technique to anonymize interview subjects and scenes in regular and 360 videos to create a technique that would be much better at conveying emotional and knowledge information than current anonymization techniques.
Portrait artists and painters in general have over centuries developed, a little understood, intuitive and open methodology that exploits cognitive mechanisms in the human perception and visual system.
Our long range research project is a visual development system for exploring face space, both in terms of facial types and animated expressions. This development toolkit is based on a hierarchical parametric approach. This approach gives us an additive language of hierarchical expressions, emotions and lip-sync sequences.
Rapid of growth of visual communication systems, from video phones to virtual agents in games and web services, has a brought a new generation of multimedia systems that we refer to as face-centric. Such systems are mainly concerned with multimedia representation of facial activities.
The design goal of this project was to develop avatars and virtual communities where the participants sense a tele-presence – that they are really there in the virtual space with other people. This collective sense of “being-there” does not happen over the phone or with teleconferencing; it is a new and emerging phenomenon, unique to 3D virtual communities.
Can you extract the emotional aspects of a piece of music to animate a face. Music-driven Emotionally Expressive Face (MusicFace) is a early stage project that creates “facial choreography” driven by musical input. In addition to its artistic uses, MusicFace can be used for creating visual effects in movies and animations, and also realistic characters in computer games and virtual worlds.