Serbian Journal of Electrical Engineering
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2019, vol. 16, br. 3, str. 387-403
Optimal HOG cell to image ratio for robust multi-sensor face recognition systems
(naslov ne postoji na srpskom)
aVlatacom Institute of High Technologies, Belgrade
bUniverzitet u Beogradu, Elektrotehnički fakultet + Vlatacom Institute of High Technologies, Belgrade

e-adresamilos.pavlovic@vlatacom.com, branka.stojanovic@vlatacom.com, ranko.petrovic@vlatacom.com, snezana.puzovic@vlatacom.com, srdjan.stankovic@vlatacom.com
Ključne reči: Face recognition; Visible light imagery; Thermal imagery; Image scaling; Facial expression; HOG
(ne postoji na srpskom)
The main problem for modern visible light face recognition has been accurate identification under variable environmental conditions. Thermal infrared facial images utilization in face recognition systems can provide a solution for problems related to uncontrolled environmental conditions, especially to those caused by illumination limitations. This paper compares the results of the use of visible light and thermal infrared imagery for face recognition based on the HOG feature descriptor. In particular, the paper suggests an optimal HOG cell to image size ratio in order to improve recognition accuracy and reduce computational complexity. Performance statistics are presented on facial images with different facial expressions. The obtained results support the conclusion that recognition with thermal infrared images is more robust and that fusion of sensors should be included for improving recognition accuracy.
*** OTCBVS Benchmark Dataset Collection-Dataset 02: IRIS Thermal/Visible Face Database. Available at: http://vcipl-okstate.org/pbvs/bench/Data/02/download.html
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O članku

jezik rada: engleski
vrsta rada: neklasifikovan
DOI: 10.2298/SJEE1903387P
objavljen u SCIndeksu: 13.02.2020.
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