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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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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3724574/ https://ncbi.nlm.nih.gov/pubmed/23870191 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-232 |
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