Pose Calibrated Feature Aggregation for Video Face Set Recognition in Unconstrained Environments

• Published in: IEEE access Vol. 12; pp. 156337 - 156346
• Main Authors: Ali Hasani, Ibrahim, Arif, Omar
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Face recognition; Fans; feature aggregation; Feature extraction; frame selection; Image quality; Metadata; multi-stream networks; open sets; Streaming media; Three-dimensional displays; Training; Vectors; Video face recognition

This paper presents Pose Calibrated Feature Aggregation Network (PCFAN), an architecture for set/video face recognition. Using stacked attention blocks and a multi-modal architecture, it automatically assigns adaptive weights to every instance in the set, based on both the recognition embeddings and...