Original and Mirror Face Images and Minimum Squared Error Classification for Visible Light Face Recognition
In real-world applications, the image of faces varies with illumination, facial expression, and poses. It seems that more training samples are able to reveal possible images of the faces. Though minimum squared error classification (MSEC) is a widely used method, its applications on face recognition...
Saved in:
| Main Author: | Rong Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/842084 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Locality preserving partial least squares discriminant analysis for face recognition
by: Muhammad Aminu, et al.
Published: (2022-02-01) -
A face visível da Aids The visible face of Aids
by: Dilene Raimundo do Nascimento
Published: (1997-06-01) -
Transferring Face Recognition Techniques to Entomology: An ArcFace and ResNet Approach for Improving Dragonfly Classification
by: Zhong Li, et al.
Published: (2025-07-01) -
Mirror-Reversal of a Face is Perceived as Expressing Emotions More Intensely
by: H. S. Asthana, et al.
Published: (1996-01-01) -
Visual Perception during Mirror-Gazing at One’s Own Face in Patients with Depression
by: Giovanni B. Caputo, et al.
Published: (2014-01-01)