Thermal Imagery Noise Influence on Face Recognition Performance
| Autor: | Ranko Petrovic, Snezana Puzovic, Branka Stojanovic, Srdan Stankovic, Miloš D. Pavlović |
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| Rok vydání: | 2019 |
| Předmět: |
0303 health sciences
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Facial recognition system Noise (electronics) Support vector machine 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis Thermal band Face (geometry) Thermal Computer vision Artificial intelligence Image sensor business Reliability (statistics) 030304 developmental biology |
| Zdroj: | 2019 18th International Symposium INFOTEH-JAHORINA (INFOTEH). |
| DOI: | 10.1109/infoteh.2019.8717662 |
| Popis: | The utilization of a thermal band imaging sensor with aim to overcome the disadvantages of visible light face recognition systems, such as variation in lighting conditions, has become more popular in wide range of security and safety applications. Thermal imaging sensor enhances reliability of face recognition systems under different lighting conditions, including complete darkness. However, thermal imagery also possesses several disadvantages such as usual presence of noise, originating both from sensor and environment. This paper examines the influence of thermal imagery noise on face recognition performance in thermal-to-thermal face recognition applications. |
| Databáze: | OpenAIRE |
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