Cargando…
Deep neural models for color classification and color constancy
Color constancy is our ability to perceive constant colors across varying illuminations. Here, we trained deep neural networks to be color constant and evaluated their performance with varying cues. Inputs to the networks consisted of two-dimensional images of simulated cone excitations derived from...
Autores principales: | Flachot, Alban, Akbarinia, Arash, Schütt, Heiko H., Fleming, Roland W., Wichmann, Felix A., Gegenfurtner, Karl R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976922/ https://www.ncbi.nlm.nih.gov/pubmed/35353153 http://dx.doi.org/10.1167/jov.22.4.17 |
Ejemplares similares
-
Emergent color categorization in a neural network trained for object recognition
por: de Vries, Jelmer P, et al.
Publicado: (2022) -
Color and gloss constancy under diverse lighting environments
por: Morimoto, Takuma, et al.
Publicado: (2023) -
Three-Color Balancing for Color Constancy Correction
por: Akazawa, Teruaki, et al.
Publicado: (2021) -
Influence of Surrounding Colors in the Illuminant-Color Mode on Color Constancy
por: Fukuda, Kazuho, et al.
Publicado: (2011) -
A Color-Opponency Based Biological Model for Color Constancy
por: Li, Yongjie, et al.
Publicado: (2011)