Study on 3D Head Understanding Benchmarks: spectrum of tasks, existing  methods and challenges

dc.contributor.author	Kurliak, Yana
dc.date.accessioned	2024-02-14T08:33:52Z
dc.date.available	2024-02-14T08:33:52Z
dc.date.issued	2022
dc.identifier.citation	Kurliak, Yana. Study on 3D Head Understanding Benchmarks: spectrum of tasks, existing methods and challenges / Kurliak, Yana; Supervisor: Tetiana Martyniuk; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2022. – 34 p.	uk
dc.identifier.uri	https://er.ucu.edu.ua/handle/1/4391
dc.language.iso	en	uk
dc.title	Study on 3D Head Understanding Benchmarks: spectrum of tasks, existing methods and challenges	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk
dc.description.abstracten	The face plays a key role in communication of both verbal and non-verbal information in human interaction. A correct 3D head representation helps computer visual system identify key facial features to serve a large range of use cases both in and beyond Computer Vision field. This work includes an overview and analysis of existing 3D Head Understanding area datasets and benchmarking methods. Based on the analysis of their benefits and limitations a novel set of data and metrics are concluded.	uk