Research output per year
Research output per year
Marcel Grimmer*, Christian Rathgeb, Raymond Veldhuis, Christoph Busch
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Accurate face recognition systems are increasingly important in sensitive applications like border control or migration management. Therefore, it becomes crucial to quantify the quality of facial images to ensure that lowquality images are not affecting recognition accuracy. In this context, the current draft of ISO/IEC 29794-5 introduces the concept of component quality to estimate how single factors of variation affect recognition outcomes. In this study, we propose a quality measure (NeutrEx) based on the accumulated distances of a 3D face reconstruction to a neutral expression anchor. Our evaluations demonstrate the superiority of our proposed method compared to baseline approaches obtained by training Support Vector Machines on face embeddings extracted from a pre-trained Convolutional Neural Network for facial expression classification. Furthermore, we highlight the explainable nature of our NeutrEx measures by computing per-vertex distances to unveil the most impactful face regions and allow operators to give actionable feedback to subjects1.
Original language | English |
---|---|
Title of host publication | 2023 IEEE International Joint Conference on Biometrics, IJCB 2023 |
Publisher | IEEE |
ISBN (Electronic) | 9798350337266 |
DOIs | |
Publication status | Published - 1 Mar 2023 |
Event | IEEE International Joint Conference on Biometrics, IJCB 2023 - Ljubljana, Slovenia Duration: 25 Dec 2023 → 28 Dec 2023 |
Conference | IEEE International Joint Conference on Biometrics, IJCB 2023 |
---|---|
Abbreviated title | IJCB |
Country/Territory | Slovenia |
City | Ljubljana |
Period | 25/12/23 → 28/12/23 |
Research output: Working paper › Preprint › Academic