Cargando…
Color Face Recognition Based on Steerable Pyramid Transform and Extreme Learning Machines
This paper presents a novel color face recognition algorithm by means of fusing color and local information. The proposed algorithm fuses the multiple features derived from different color spaces. Multiorientation and multiscale information relating to the color face features are extracted by applyi...
Autor principal: | Uçar, Ayşegül |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914600/ https://www.ncbi.nlm.nih.gov/pubmed/24558319 http://dx.doi.org/10.1155/2014/628494 |
Ejemplares similares
-
Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters
por: Hoang, Nhat-Duc
Publicado: (2018) -
Steerable-Discrete-Cosine-Transform (SDCT): Hardware Implementation and Performance Analysis †
por: Peloso, Riccardo, et al.
Publicado: (2020) -
Quantum steerability based on joint measurability
por: Chen, Zhihua, et al.
Publicado: (2017) -
Machine learning for face, emotion, and pain recognition
por: Anbarjafari, Gholamreza, et al.
Publicado: (2018) -
Quaternion-Based Discriminant Analysis Method for Color Face Recognition
por: Xu, Yong
Publicado: (2012)