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undergraduate thesis
Primjena analize i raspoznavanja slika za dentalnu forenziku
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:663216
Đapić, Bruno
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Đapić, B. (2022). Primjena analize i raspoznavanja slika za dentalnu forenziku (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:663216

Đapić, Bruno. "Primjena analize i raspoznavanja slika za dentalnu forenziku." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:663216

Đapić, Bruno. "Primjena analize i raspoznavanja slika za dentalnu forenziku." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:663216

Đapić, B. (2022). 'Primjena analize i raspoznavanja slika za dentalnu forenziku', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:663216

Đapić B. Primjena analize i raspoznavanja slika za dentalnu forenziku [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 August 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:663216

B. Đapić, "Primjena analize i raspoznavanja slika za dentalnu forenziku", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:663216

Metadata
TitlePrimjena analize i raspoznavanja slika za dentalnu forenziku
Title (english)Application of Image Analysis and Recognition for Dental Forensics
AuthorBruno Đapić
MentorMislav Grgić (mentor)
Committee memberMislav Grgić (predsjednik povjerenstva)
Committee memberSonja Grgić (član povjerenstva)
Committee memberTomislav Kos (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Identificiranje pojedinca ili veće skupine ljudi u masovnim tragedijama zahtjevan je posao. Jedna od najučinkovitijih metoda identifikacije osobe je usporedba antemortem i postmortem dentalnih panoramskih radiografa. Dostupnost antemortem i postmortem skupova radiografskih podataka predstavlja dovoljnu količinu informacija za učinkovitu forenzičku identifikaciju, čak i ako su dobivene različitim radiološkim (rentgenološkim) tehnikama (ortopantomografija i retroalveolarna snimka). Također, identifikacija pomoću dentalnih zapisa može biti manje brža od identifikacije temeljene na otisku prsta ili DNK. Analizom i naknadnom obradom dentalnih panoramskih rendgenskih snimaka povećavamo vjerojatnost uspjeha. Uz korištenje računalnog vida, brzina i točnost kojom možemo usporediti i upariti antemortem i postmortem dentalne panoramske radiografe od ključne je važnosti za identifikaciju ljudi. Sve 43 osobe (100\%) uspješno su identificirane usporedbom sa sadržajem iz baze podataka.
Abstract (english)
Identifying an individual or a large group of people in mass tragedies is a demanding job. One of the most effective methods of identifying a person is the comparison of antemortem and postmortem dental panoramic radiographs. The availability of antemortem and postmortem radiographical data sets represent sufficient information for effective forensic dental identification, even if such were obtained by different radiological (roentgenological) techniques (thopantomography and peri- apicalradiography). Also, identification using dental records can be less time-consuming than fingerprint- or DNA-based identifications. By analyzing and subsequently processing the dental panoramic radiographs, we increase the probability of success. In addition with the use of computer vision, the speed and accuracy by which we can compare and match antemortem and postmortem dental panoramic radiographs is of critical use for human identification. All 43 individuals (100\%) were successfully identifed by comparison with the content of the feature database.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:663216
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 20:22:07