Recognizing Facial Actions by Combining Geometric Features and Regional Appearance Patterns

Topics:
Electrical and Electronic
Tags:
Carnegie-Mellon University,
Data Management,
Databases,
Enterprise Software,
Feature,
Hardware,
Software,
Storage
Source:
Carnegie Mellon University

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Overview: This white paper deals with combining the approaches of facial expression analysis which involves two principle approaches to extract facial features that are geometric feature based methods and appearance-based methods such as Gabor filters in a feature-based system to recognize Facial Action Coding System (FACS) action units (AUs) in a complex database. The geometric facial features (including mouth, eyes, brows, and cheeks) are extracted using multi-state facial component models. After extraction, these features are represented parametrically.

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Format: PDF | Size: 779KB | Date: Jan 2001 | Pages: 31

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