In our experiments, three classifiers have been considered to compare the results achieved using PCA versus the results obtained using low resolution images. An ...
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only. 2D information, in fact, PCA is practically ...
In our experiments, three classifiers have been considered to compare the results achieved using PCA versus the results obtained using low resolution images. An ...
In our experiments three classifiers have been considered to compare the results achieved using PCA versus the results obtained using low resolution images. An ...
Aug 28, 2014 · If the resolution is low enough, all algorithms will fail. For example you can't identify someone if all you have is a 16 by 16 photo of their ...
Missing: verification. | Show results with:verification.
Jul 16, 2020 · PCA is more suitable to do face recognition due to has higher accuracy than LDA in yale face recognition dataset. The data and code are ...
Missing: resolution verification.
In this paper we analyze reliability of the real-time system for face detection and recognition from low-resolution images, e.g., from video monitoring ...
Jan 16, 2016 · I was informed that for basic facial recognition, you needed a minimum of 70 images of the subject, all of which had to be at least a 1200x1200 resolution.
Missing: verification. | Show results with:verification.
Feb 20, 2019 · Face recognition methods for low resolution are often developed and tested on down-sampled images instead of on real low-resolution images.
Apr 26, 2022 · This paper develops a robust real-time face recognition approach that uses super-resolution to improve images and detect faces in the video.