Local Binary Pattern and Local Linear Regression for Pose Invariant Face Recognition

Raju Dadasab Patil; Shreekumar T; Karunakara K

CALL FOR PAPERS : Feb-2026

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25-Feb-26

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Local Binary Pattern and Local Linear Regression for Pose Invariant Face Recognition

Author(s):

Raju Dadasab Patil , Manglore Institute of Technology and Engineering, Moodbidri, manglore.; Shreekumar T, MITE, Moodbidri; Karunakara K, Sri SidarthaInstitute of Technology, Tumkur

Keywords:

Local Linear Regression, Local Binary Pattern, Scale, Invariant Feature Transform

Abstract:

In this paper, we propose a new face recognition method that consists of two parts. One part consists of Local Linear Regression for pose invariant face images. In Recognition part, there are two methods, SIFT (Scale Invariant Feature Transfer) is feature point detection method. Using that feature points recognize and identify the face using Local Binary Pattern (LBP). This is face recognition technique that recognize the face. We also propose an approach using the region of interest (ROI) to remove the useless interest points for saving our computation time and maintaining the recognition rate.