prikaz prve stranice dokumenta Deidentifikacija lica preinačenim postupkom k-istih lica upotrebom karakterističnih točaka lica
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master's thesis
Deidentifikacija lica preinačenim postupkom k-istih lica upotrebom karakterističnih točaka lica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:151013
Crnac, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Crnac, M. (2018). Deidentifikacija lica preinačenim postupkom k-istih lica upotrebom karakterističnih točaka lica (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:151013

Crnac, Matej. "Deidentifikacija lica preinačenim postupkom k-istih lica upotrebom karakterističnih točaka lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:151013

Crnac, Matej. "Deidentifikacija lica preinačenim postupkom k-istih lica upotrebom karakterističnih točaka lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:151013

Crnac, M. (2018). 'Deidentifikacija lica preinačenim postupkom k-istih lica upotrebom karakterističnih točaka lica', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:151013

Crnac M. Deidentifikacija lica preinačenim postupkom k-istih lica upotrebom karakterističnih točaka lica [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:151013

M. Crnac, "Deidentifikacija lica preinačenim postupkom k-istih lica upotrebom karakterističnih točaka lica", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:151013

Metadata
TitleDeidentifikacija lica preinačenim postupkom k-istih lica upotrebom karakterističnih točaka lica
Title (english)De-identification of Faces by Using Modified k-Same Method and Characteristic Facial Points
AuthorMatej Crnac
MentorSlobodan Ribarić (mentor)
Committee memberSlobodan Ribarić (predsjednik povjerenstva)
Committee memberMarin Golub (član povjerenstva)
Committee memberVlado Sruk (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad bavi se problemom deidentifikacije lica. Razvijen je program koji radi deidentifikaciju preinačenim postupkom k-istih lica te koristi karakteristične točke lica. Predstavljene su tri metode za računanje udaljenosti između dva lica, a metoda temeljena na određenim udaljenostima se pokazala kao najbolja. Uz to je napravljena i klasifikacija spola kako bi deidentifikacijom osoba ostala istog spola. Razvijena metoda deidentifikacije računa udaljenost lica od svih lica iz galerije slika, te zatim, ovisno o parametru k, radi zamjenu dijelova lica s tom ili više slika. Na kraju su se rezultati ispitali testiranjem na ljudima koje je pokazalo dobre rezultate kao i moguća poboljšanja.
Abstract (english)
The topic of this work is face de-identification. A program was developed to do de-identification by using a modified k-Same method and characteristic facial points. Three methods for calculating distance between faces were developed and the method based on specific distances was proven to be the best. Gender detection method was also developed because it can be important for de-identified person to stay the same gender. De-identification method is calculating face distance from every other face in the gallery and then, based on parameter k, does swapping face parts with one or more faces. In the end, results were tested on people and results are proven to be good with some possible improvements.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:151013
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 19:36:53