ورقة مؤتمر
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
الملخّص
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...
التفاصيل
| اللغة الأصلية | English |
|---|---|
| المجلّة | 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR) |
| رقم المقال | 8575947 |
| الصفحات | 929-934 |
| DOI | 10.1109/acpr.2017.153 |
| حالة النشر | منشور — 2017 |