Face recognition using L1 norm minimization
Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley. The database used is MIT-CBCL and YaleB database which was got from http://cbcl.mit.edu/software-datasets/heisele/facerecognition-database.html and http://cvc.yale.edu/projects/yalefacesB/yalefacesB.html.
Cite As
Neeraj (2023). Face recognition using L1 norm minimization (https://www.mathworks.com/matlabcentral/fileexchange/34500-face-recognition-using-l1-norm-minimization), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Object Detection Using Features > Face Detection >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.