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ICCV
2007
IEEE
15 years 1 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
ICMI
2007
Springer
112views Biometrics» more  ICMI 2007»
15 years 5 months ago
How to distinguish posed from spontaneous smiles using geometric features
Automatic distinction between posed and spontaneous expressions is an unsolved problem. Previously cognitive sciences’ studies indicated that the automatic separation of posed f...
Michel François Valstar, Hatice Gunes, Maja...
SIGGRAPH
1999
ACM
15 years 4 months ago
Voice Puppetry
We introduce a method for predicting a control signal from another related signal, and apply it to voice puppetry: Generating full facial animation from expressive information in ...
Matthew Brand
AIHC
2007
Springer
15 years 3 months ago
Foundations of Human Computing: Facial Expression and Emotion
Many people believe that emotions and subjective feelings are one and the same and that a goal of human-centered computing is emotion recognition. The first belief is outdated; the...
Jeffrey F. Cohn
TMM
2010
224views Management» more  TMM 2010»
14 years 6 months ago
A 3-D Audio-Visual Corpus of Affective Communication
Communication between humans deeply relies on the capability of expressing and recognizing feelings. For this reason, research on human-machine interaction needs to focus on the re...
Gabriele Fanelli, Jürgen Gall, Harald Romsdor...