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Face dissimilarity judgments are predicted by representational distance in morphable and image-computable models
Human vision is attuned to the subtle differences between individual faces. Yet we lack a quantitative way of predicting how similar two face images look and whether they appear to show the same person. Principal component–based three-dimensional (3D) morphable models are widely used to generate sti...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271164/ https://www.ncbi.nlm.nih.gov/pubmed/35767642 http://dx.doi.org/10.1073/pnas.2115047119 |