Amanote Research

Amanote Research

    RegisterSign In

Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition

International Journal of Computer Vision and Image Processing
doi 10.4018/ijcvip.2012040104
Full Text
Open PDF
Abstract

Available in full text

Date

April 1, 2012

Authors
Ajay JaiswalNitin KumarR. K. Agrawal
Publisher

IGI Global


Related search

Robust Face Alignment for Illumination and Pose Invariant Face Recognition

2010English

Multi-Subregion Based Probabilistic Approach Toward Pose-Invariant Face Recognition

English

Structural Orthogonal Procrustes Regression for Face Recognition With Pose Variations and Misalignment

2016English

Face Description With Local Invariant Features: Application to Face Recognition

2009English

An Efficient Face Recognition System Based on the Hybridization of Pose Invariant and Illumination Process

International Journal of Computer Applications
2012English

Face Recognition Under Varying Pose.

1993English

Expression Invariant Features for Face Recognition

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2019English

Illumination Invariant Face Recognition

International Journal of Computer Applications
2013English

Illumination Invariant Face Recognition

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy