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Investigating Spontaneous Facial Action Recognition through AAM Representations of the Face
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What this work says
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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Pattern Classification
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Introduction to Statistical Pattern Recognition
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Automated face analysis by feature point tracking has high concurrent validity with manual FACS coding
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Active Appearance Models Revisited
inferredcites →https://doi.org/10.1093/acprof:oso/9780195179644.003.0018openalex-snapshot
Automated Face Analysis by Feature Point Tracking Has High Concurrent Validity With Manual FACS Coding
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Recognizing action units for facial expression analysis
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Comprehensive database for facial expression analysis
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Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior
inferredcites →https://doi.org/10.1109/fgr.2006.17openalex-snapshot
AAM Derived Face Representations for Robust Facial Action Recognition
inferredcites →https://doi.org/10.1109/icsmc.2004.1398364openalex-snapshot
Machine learning methods for fully automatic recognition of facial expressions and facial actions
inferredcites →https://doi.org/10.1142/9789812778543_0002openalex-snapshot
Recognizing Action Units for Facial Expression Analysis
inferredcites →https://doi.org/10.1145/971478.971515openalex-snapshot
First steps towards automatic recognition of spontaneous facial action units
inferredcites →https://doi.org/10.4135/9781483381411.n178openalex-snapshot
Facial Action Coding System
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Facial expression recognition and expression intensity estimation
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