Image enhancement and classification
Title: |
Image enhancement and classification |
DNr: |
SNIC 2017/5-56 |
Project Type: |
SNIC Small Compute |
Principal Investigator: |
Josef Bigun <josef.bigun@hh.se> |
Affiliation: |
Högskolan i Halmstad |
Duration: |
2017-10-30 – 2020-11-01 |
Classification: |
20205 |
Keywords: |
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Abstract
The primary goal of the project is to create compact measurement sets useful to multiple applications demanding automatic image enhancement and/or classification.
Our test bed is biometric identification. It can be mono-modal, e.g. face images, lip-movements, fingerprints, and speech, or multi-modal e.g. any combination of simple modalities.