Eye center localization on a facial image based on multi-block local binary patterns
In this paper an eye center localization algorithm based on multi-block local binary patterns is described. Performance of the suggested algorithm is compared to another methods based on Bayesian approach and image gradients. Visual examples of eye center localization results are provided.
Main Authors: | Anatoly Nikitin, Vladimir Khryashchev, Olga Stepanova, Igor Kosterin |
---|---|
Format: | Article |
Language: | English |
Published: |
FRUCT
2015-04-01
|
Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
Subjects: | |
Online Access: | https://www.fruct.org/publications/fruct17/files/Nik.pdf
|
Similar Items
-
A New Fast Local Laplacian Completed Local Ternary Count (FLL-CLTC) for Facial Image Classification
by: Khaled M. Alalayah, et al.
Published: (2020-01-01) -
Gender Perception From Faces Using Boosted LBPH (Local Binary Patten Histograms)
by: U. U. Tariq, et al.
Published: (2013-06-01) -
Sistem Pengenalan Wajah dengan Algoritma Haar Cascade dan Local Binary Pattern Histogram
by: Sayeed Al-Aidid, et al.
Published: (2018-04-01) -
Emotion Recognition from Eye Region Signals using Local Binary Patterns
by: Jain, Gaurav
Published: (2011) -
Emotion Recognition from Eye Region Signals using Local Binary Patterns
by: Jain, Gaurav
Published: (2011)