A Survey on 3D Digital Facial Reconstruction Algorithms

Autor: Barcic, Ena, Petra Grd
Přispěvatelé: Vrček, Neven, Pergler, Elisabeth, Grd, Petra
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Web of Science
Popis: 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.
Databáze: OpenAIRE