Unsupervised eye pupil localization through differential geometry and local self-similarity matching.
The automatic detection and tracking of human eyes and, in particular, the precise localization of their centers (pupils), is a widely debated topic in the international scientific community. In fact, the extracted information can be effectively used in a large number of applications ranging from ad...
Guardado en:
Autores principales: | Marco Leo, Dario Cazzato, Tommaso De Marco, Cosimo Distante |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c80919a3cef14fe080621d6c87f546f5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Matching sensor ontologies with unsupervised neural network with competitive learning
por: Xingsi Xue, et al.
Publicado: (2021) -
Quantifying similarity of pore-geometry in nanoporous materials
por: Yongjin Lee, et al.
Publicado: (2017) -
Locally-curved geometry generates bending cracks in the African elephant skin
por: António F. Martins, et al.
Publicado: (2018) -
Differential geometry and its applications
Publicado: (1991) -
Professional self-determination theory of senior pupils in Russian psychology
por: E. P. Shutova, et al.
Publicado: (2021)