Communication
A Geometric View Transformation Model Using Free-Form Deformation for Cross-View Gait Recognition
Hazem [::El::]-Alfy✉, Chi Xu, Yasushi Makihara, Daigo Muramatsu, Yasushi Yagi
Résumé
Gait is a commonly used behavioral biometric that proved to be successful for authenticating people at a distance, however, its recognition accuracy severely deteriorates due to view changes. We therefore propose a Geometric View Transformation Model (GVTM) to enhance the robustness of gait recognition under cross-view conditions. Specifically, we train a subject-independent warping field with a f...
Détails
| Langue originale | English |
|---|---|
| Revue | 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR) |
| Numéro d’article | 8575947 |
| Pages | 929-934 |
| DOI | 10.1109/acpr.2017.153 |
| Statut de publication | Publié — 2017 |