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AAM Derived Face Representations for Robust Facial Action Recognition
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Introduction to Statistical Pattern Recognition
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Generic vs. person specific active appearance models
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Active Appearance Models Revisited
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What the Face RevealsBasic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS)
inferredcites →https://doi.org/10.1093/oso/9780195169157.003.0014openalex-snapshot
Observer-Based Measurement of Facial Expression with the Facial Action Coding System
inferredcites →https://doi.org/10.1109/cvpr.2004.1315210openalex-snapshot
Real-time combined 2D+3D active appearance models
inferredcites →https://doi.org/10.1109/cvpr.2005.297openalex-snapshot
Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior
inferredcites →https://doi.org/10.1109/jproc.2003.817122openalex-snapshot
Toward an affect-sensitive multimodal human-computer interaction
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Segmented AAMs Improve Person-Indepedent Face Fitting
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Structured Prediction for Event Detection
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