基于pca的人脸识别软件框架

2016 IEEE International Conference on Software Science, Technology and Engineering (SWSTE) Pub Date : 2016-06-23 DOI:10.1109/SWSTE.2016.11

Peng Peng, P. Alencar, D. Cowan

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引用次数: 2

摘要

本文重点研究了一个支持人脸识别的软件框架，这是图像处理的一个特定领域。对于处理方法，我们使用主成分分析(PCA)，一种数据降维方法。本研究的目的是了解PCA的整个人脸识别过程，并提出一个支持多种变体的软件框架，用于帮助用户高效地创建自定义人脸识别应用程序。

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A Software Framework for PCa-Based Face Recognition

This paper focuses on a software framework to support face recognition, a specific area of image processing. For the processing approach, we use principal component analysis (PCA), a data dimensionality reduction approach. The goal of this study is to understand the entire face recognition process with PCA and to present a software framework supporting multiple variations, which can be used to help users create customized face recognition applications efficiently.

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2016 IEEE International Conference on Software Science, Technology and Engineering (SWSTE)

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