Locally weighted PCA regression to recover missing markers in human motion data

“Missing markers problem”, that is, missing markers during a motion capture session, has been raised for many years in Motion Capture field. We propose the locally weighted principal component analysis (PCA) regression method to deal with this challenge. The main merit is to introduce the sparsity o...

Descripción completa

Detalles Bibliográficos
Autores principales: Kieu, Hai Dang, Yu, Hongchuan, Li, Zhuorong, Zhang, Jian Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359544/
https://www.ncbi.nlm.nih.gov/pubmed/35939446
http://dx.doi.org/10.1371/journal.pone.0272407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359544/
https://www.ncbi.nlm.nih.gov/pubmed/35939446
http://dx.doi.org/10.1371/journal.pone.0272407

Ejemplares similares