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Human Part Segmentation in Depth Images with Annotated Part Positions

We present a method of segmenting human parts in depth images, when provided the image positions of the body parts. The goal is to facilitate per-pixel labelling of large datasets of human images, which are used for training and testing algorithms for pose estimation and automatic segmentation. A co...

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Detalles Bibliográficos
Autores principales: Hynes, Andrew, Czarnuch, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021853/
https://www.ncbi.nlm.nih.gov/pubmed/29891813
http://dx.doi.org/10.3390/s18061900