Cargando…
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...
Autores principales: | Leo, Marco, Cazzato, Dario, De Marco, Tommaso, Distante, Cosimo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133223/ https://www.ncbi.nlm.nih.gov/pubmed/25122452 http://dx.doi.org/10.1371/journal.pone.0102829 |
Ejemplares similares
-
When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking
por: Cazzato, Dario, et al.
Publicado: (2020) -
An Investigation on the Feasibility of Uncalibrated and Unconstrained Gaze Tracking for Human Assistive Applications by Using Head Pose Estimation
por: Cazzato, Dario, et al.
Publicado: (2014) -
Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI
por: Carcagnì, Pierluigi, et al.
Publicado: (2023) -
Facial expression recognition and histograms of oriented gradients: a comprehensive study
por: Carcagnì, Pierluigi, et al.
Publicado: (2015) -
An Efficient Approach for Preprocessing Data from a Large-Scale Chemical Sensor Array
por: Leo, Marco, et al.
Publicado: (2014)