# 2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm

arXiv: https://arxiv.org/abs/1912.10768 · HTML: https://mlsanity.com/paper/1912.10768/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Dec 2019.

## Built on by (most cited first, 1 of 1)

- [Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation](https://mlsanity.com/paper/2412.15924/) (2024)

## Abstract (arXiv)

In this paper, two novel methods: 2DR1-PCA and 2DL1-PCA are proposed for face recognition. Compared to the traditional 2DPCA algorithm, 2DR1-PCA and 2DL1-PCA are based on the R1 norm and L1 norm, respectively. The advantage of these proposed methods is they are less sensitive to outliers. These proposed methods are tested on the ORL, YALE and XM2VTS databases and the performance of the related methods is compared experimentally.