Automatic landmark annotation and dense correspondence registration for 3D human facial images

BACKGROUND: Traditional anthropometric studies of human face rely on manual measurements of simple features, which are labor intensive and lack of full comprehensive inference. Dense surface registration of three-dimensional (3D) human facial images holds great potential for high throughput quantita...

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Detalles Bibliográficos
Autores principales: Guo, Jianya, Mei, Xi, Tang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3724574/
https://www.ncbi.nlm.nih.gov/pubmed/23870191
http://dx.doi.org/10.1186/1471-2105-14-232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3724574/
https://www.ncbi.nlm.nih.gov/pubmed/23870191
http://dx.doi.org/10.1186/1471-2105-14-232

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