A Survey of Recent Advances on Two-Step 3D Human Pose Estimation

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorManesco, João Renato Ribeiro-
Autor(es): dc.creatorMarana, Aparecido Nilceu-
Data de aceite: dc.date.accessioned2025-08-21T21:33:25Z-
Data de disponibilização: dc.date.available2025-08-21T21:33:25Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-031-21689-3_20-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/249522-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/249522-
Descrição: dc.descriptionHuman pose estimation in images is an important and challenging problem in Computer Vision. Currently, methods that employ deep learning techniques excel in the task of 2D human pose estimation. 2D human poses can be used in a diverse and broad set of applications, of great relevance to society. However, the use of 3D poses can lead to even more accurate and robust results. Since joint coordinates for 3D poses are difficult to estimate, fully convolutional methods tend to perform poorly. One possible solution is to estimate 3D poses based on 2D poses, which offer improved performance by delegating the exploration of image features to more mature 2D pose estimation techniques. The goal of this paper is to present a survey of recent advances on two-step techniques for 3D human pose estimation based on 2D human poses.-
Descrição: dc.descriptionFaculty of Sciences UNESP - São Paulo State University, SP-
Descrição: dc.descriptionFaculty of Sciences UNESP - São Paulo State University, SP-
Formato: dc.format266-281-
Idioma: dc.languageen-
Relação: dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subject2D human poses-
Palavras-chave: dc.subject3D human pose estimation-
Palavras-chave: dc.subjectTwo-step 3D human pose estimation-
Título: dc.titleA Survey of Recent Advances on Two-Step 3D Human Pose Estimation-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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