Accurate nonrigid 3D human body surface reconstruction using commodity depth sensors.

Lu, Yao; Zhao, Shang; Younes, Naji; Hahn, James K

Lu, Yao; Zhao, Shang; Younes, Naji; Hahn, James K.

Afiliación

Lu Y; Department of Computer Science, School of Engineering and Applied Science, Institute for Computer Graphics, The George Washington University, 800 22nd Street NW Suite 3400, Washington, DC 20052, USA.
Zhao S; Department of Computer Science, School of Engineering and Applied Science, Institute for Computer Graphics, The George Washington University, 800 22nd Street NW Suite 3400, Washington, DC 20052, USA.
Younes N; Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, 800 22nd Street NW Suite 7680, Washington, DC 20052, USA.
Hahn JK; Department of Computer Science, School of Engineering and Applied Science, and Department of Pediatrics, School of Medicine and Health Sciences, Institute for Computer Graphics, The George Washington University, 800 22nd Street NW Suite 5830, Washington, DC 20052, USA.

Comput Animat Virtual Worlds ; 29(5)2018.

Article en En | MEDLINE | ID: mdl-31156352

Palabras clave

body composition inference; medical application; multimodality registration; nonrigid registration; skeletal joints inference; supervised learning; surface reconstruction system

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Comput Animat Virtual Worlds Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

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