UIBVFEDPlus-Light: Virtual facial expression dataset with lighting.
Miquel Mascaró-Oliver1, Esperança Amengual-Alcover1, Maria Francesca Roig-Maimó1
1Department of Mathematics and Computer Science, University of the Balearic Islands, Palma de Mallorca, Spain.
Plos One
|September 29, 2023
Summary
This study introduces UIBVFEDPlus-Light, a novel virtual facial expression dataset featuring diverse lighting. This resource challenges and advances automatic emotion recognition in varied lighting conditions.
Area of Science:
- Computer Vision
- Affective Computing
- Human-Computer Interaction
Background:
- Lighting significantly impacts automatic human expression recognition.
- Existing facial expression databases often lack intentional lighting variations.
- Understanding emotion perception under varying light is crucial for realistic AI.
Purpose of the Study:
- To introduce UIBVFEDPlus-Light, a new virtual facial expression database.
- To address the gap in datasets concerning intentional lighting configurations.
- To facilitate research on emotion recognition under diverse lighting.
Main Methods:
- Developed a virtual facial expression database (UIBVFEDPlus-Light) as an extension of UIBVFED.
- Included 100 virtual characters with four distinct lighting configurations.
- Created interactive software for managing expression intensity and lighting.
Main Results:
- The UIBVFEDPlus-Light database provides a controlled environment for studying lighting effects.
- The dataset enables exploration of new challenges in facial expression recognition.
- Demonstrated the utility of the database through an experience of use.
Conclusions:
- UIBV জৈFEDPlus-Light offers a valuable resource for advancing facial expression and emotion recognition research.
- The database opens new perspectives for studying AI perception in real-world lighting.
- Highlights the need for lighting-aware approaches in affective computing.
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