Facial Expressions Tracking and Recognition: Database Protocols for Systems Validation and Evaluation
Catarina Runa Miranda, Pedro Mendes, Pedro Coelho, Xenxo Alvarez,, Jo\~ao Freitas, Miguel Sales Dias, Ver\'onica Costa Orvalho

TL;DR
This paper introduces standardized protocols for facial data collection to create versatile databases, facilitating validation and testing of facial recognition systems in real-world conditions.
Contribution
It proposes a methodology and two protocols for capturing facial data under uncontrolled conditions, resulting in two new databases for system validation.
Findings
Created FdMiee database capturing diverse facial behaviors.
Developed FACIA database with multimodal data including speech and emotions.
Simplified validation process for facial recognition algorithms.
Abstract
Each human face is unique. It has its own shape, topology, and distinguishing features. As such, developing and testing facial tracking systems are challenging tasks. The existing face recognition and tracking algorithms in Computer Vision mainly specify concrete situations according to particular goals and applications, requiring validation methodologies with data that fits their purposes. However, a database that covers all possible variations of external and factors does not exist, increasing researchers' work in acquiring their own data or compiling groups of databases. To address this shortcoming, we propose a methodology for facial data acquisition through definition of fundamental variables, such as subject characteristics, acquisition hardware, and performance parameters. Following this methodology, we also propose two protocols that allow the capturing of facial behaviors…
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Taxonomy
TopicsFace and Expression Recognition · Face recognition and analysis · Emotion and Mood Recognition
