Color histogram equalization and fine-tuning to improve expression recognition of (partially occluded) faces on sign language datasets
Year: 2025
Type: conference-paper
Abstract: Figure 1: Example pictures of our procedure to classify Ekman emotions.The original picture is first normalized in size, rotation, and color profile.Then, we perform classification on the full face, only top part, and only bottom part.On the left: examples from the AffectNet dataset.On the right: examples from the PHOENIX sign language dataset.
Authors: Fabrizio Nunnari, Alakshendra Singh, Patrick Gebhard
Institution: German Research Centre for Artificial Intelligence
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4414654932