prikaz prve stranice dokumenta Automatic brightness control in near-infrared spectrum using approximate face region detection
  Download
PDF 15.63 MB
doctoral thesis
Automatic brightness control in near-infrared spectrum using approximate face region detection
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:316231
Vugrin, Jurica
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronic Systems and Information Processing

Institutional repository: FER Repository

Cite this document

Vugrin, J. (2023). Automatic brightness control in near-infrared spectrum using approximate face region detection (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:316231

Vugrin, Jurica. "Automatic brightness control in near-infrared spectrum using approximate face region detection." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:316231

Vugrin, Jurica. "Automatic brightness control in near-infrared spectrum using approximate face region detection." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:316231

Vugrin, J. (2023). 'Automatic brightness control in near-infrared spectrum using approximate face region detection', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:316231

Vugrin J. Automatic brightness control in near-infrared spectrum using approximate face region detection [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:316231

J. Vugrin, "Automatic brightness control in near-infrared spectrum using approximate face region detection", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:316231

Metadata
TitleAutomatic brightness control in near-infrared spectrum using approximate face region detection
Title (croatian)Automatsko upravljanje svjetlinom u bliskom infracrvenom području s aproksimativnom detekcijom regije lica
AuthorJurica Vugrin
MentorSven Lončarić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberDavor Petrinović (član povjerenstva)
Committee memberEdouard Ivanjko (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronic Systems and Information Processing)
Zagreb
Defense date and country2023-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Universal decimal classification
(UDC)		004 - Computer science and technology. Computing. Data processing
Abstract
The face analysis field is a well-established research area in computer vision and image processing. A very important requirement for face analysis algorithms to work properly is to have a high-quality input face image regardless of various illumination conditions. For that reason, near-infrared images are used instead of visible spectrum images. To obtain a high-quality near-infrared face image, the fast automatic brightness control with approximate face region detection is introduced which properly adjusts the brightness of the approximate face region of the image. A novel algorithm for approximate face region detection based on a spatio-temporal sampled skin detection is implemented together with the split-range feedback controller and the face absence handle included. The proposed algorithm is accurate, fast and suitable for real-time embedded system implementation.
Abstract (croatian)
Područje analize lica je čvrsto utemeljena grana istraživanja u računalnom vidu i obrade slika. Vrlo važan zahtjev algoritama za uspješnu analizu lica je ulazna slika lica visoke kvalitete neovisno o različitim uvjetima osvjetljenja. Iz tog se razloga koriste slike u bliskom infracrvenom području umjesto slika u vidljivom spektru. Kako bi se dobile visokokvalitetne slike u infracrvenom području, predstavljeno je brzo automatsko upravljanje svjetlinom aproksimativne regije lica na slici. Implementiran je novi algoritam za aproksimativnu detekciju regije lica temeljen na vremensko-prostornoj detekciji pomoću uzorkovane segmentacije kože zajedno podijeljenom regulacijom uz mogućnost rada bez prisustva lica. Predloženi algoritam je precizan, brz i pogodan za izvedbu u stvarnom vremenu na ugradbenim računalnim sustavima.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:168:316231
Promotion2024
Study programmeTitle: Doctoral study programme "Electrical Engineering and Computing"
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, po-dručje tehničkih znanosti (doktor/doktorica znanosti, po-dručje tehničkih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-04-03 11:12:59