Analysis of ocular image synthesis for cross-spectral recognition
From ISLAB/CAISR
| Title | Analysis of ocular image synthesis for cross-spectral recognition |
|---|---|
| Summary | analyze the performance of generative model for image-to-image translation of ocular images between different spectrum |
| Keywords | GANs, Deep Learning, Image Analysis, Biometrics |
| TimeFrame | |
| References | |
| Prerequisites | Python, Deep Learning course, Image Analysis course |
| Author | |
| Supervisor | Kevin Hernández-Diaz, Josef Bigun, Fernando Alonso-Fernandez |
| Level | Master |
| Status | Draft |
The aim of this project is to analyze the performance of generative models to recreate ocular images in different spectra. Whether this analysis is based on paired vs unpaired images, paired images under different distortions or a texture-based analysis is yet to be decided
