prikaz prve stranice dokumenta Mapiranje karakterističnih točaka ljudskog lica koristeći strojno učenje te Blender programsku podršku
  Download
PDF 2.51 MB
undergraduate thesis
Mapiranje karakterističnih točaka ljudskog lica koristeći strojno učenje te Blender programsku podršku
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:235:038887
Gregov, Petra
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Gregov, P. (2022). Mapiranje karakterističnih točaka ljudskog lica koristeći strojno učenje te Blender programsku podršku (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:038887

Gregov, Petra. "Mapiranje karakterističnih točaka ljudskog lica koristeći strojno učenje te Blender programsku podršku." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:038887

Gregov, Petra. "Mapiranje karakterističnih točaka ljudskog lica koristeći strojno učenje te Blender programsku podršku." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:038887

Gregov, P. (2022). 'Mapiranje karakterističnih točaka ljudskog lica koristeći strojno učenje te Blender programsku podršku', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 11 August 2024, https://urn.nsk.hr/urn:nbn:hr:235:038887

Gregov P. Mapiranje karakterističnih točaka ljudskog lica koristeći strojno učenje te Blender programsku podršku [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2022 [cited 2024 August 11] Available at: https://urn.nsk.hr/urn:nbn:hr:235:038887

P. Gregov, "Mapiranje karakterističnih točaka ljudskog lica koristeći strojno učenje te Blender programsku podršku", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:235:038887

Metadata
TitleMapiranje karakterističnih točaka ljudskog lica koristeći strojno učenje te Blender programsku podršku
Title (english)Mapping of characteristic points of the human face using machine learning and Blender software
AuthorPetra Gregov
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2022-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Tema ovog rada je istražiti metode umjetne inteligencije za detekciju i mapiranje karakterističnih crta ljudskog lica te implementirati iste u python-u i Blender-u radi animacije 3D modela. Najefikasnija takva metoda su konvolucijske neuronske mreže koje precizno razlučuju obrasce na datim slikama. U prvom dijelu rada se razradio njihov princip rada te prikladne python biblioteke. Dok se u drugom dijelu rada opisao proces dodavanja i namještanja 3D modela, te način animiranja istih unutar Blender grafičkog softvera. Animiranje se izvelo u python kodu pomoću OpenPose biblioteke.
Abstract (english)
The topic of this paper is to investigate artificial intelligence methods for the detection and mapping of characteristic features of the human face and their implementation in Python and Blender for the animation of 3D models. The most efficient such a method are convolutional neural networks that accurately distinguish patterns in given images. Their working principle and suitable python libraries are explained in the first part of the work. While the second part of the paper shows how to add and adjust 3D models and how to achieve their animation within the Blender graphics software. The animation was performed in python code using the OpenPose library.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:038887
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-09-27 16:20:01