Naslov
A Survey on 3D Digital Facial Reconstruction Algorithms

Autori
Barčić, Ena ; Grd, Petra

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 32nd Central European Conference on Information and Intelligent Systems / Vrček, Neven ; Pergler, Elisabeth ; Grd, Petra - Varaždin : Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2021, 209-217

Skup
32nd Central European Conference on Information and Intelligent Systems (CECIIS 2021)

Mjesto i datum
Varaždin, Hrvatska, 13.10.2021. - 15.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
digital facial reconstruction ; automated facial reconstruction ; skull reconstruction ; reconstruction algorithm ; human face identification ; facial mask generation

Sažetak
Facial reconstruction is most often used for identification of living or deceased individuals. The development of technology and scientific progress in computer vision leads to the new research directions in digital facial reconstruction. Different algorithms can be developed to automate the facial reconstruction process which aids in objectivity and speed of facial reconstruction. This paper will give an overview of the field of digital facial reconstruction, its advantages and shortcomings. The main focus of this paper is the process of automated reconstruction and algorithms that make it function. The taxonomy will be explained and the most widely used approaches shown. Also, an overview of existing models and tools will be given, as well as a base model for digital facial reconstruction.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA