Multiple Facial Instance for Face Recognition based on SIFT Features

被引：3

作者：

Wang Yunyi ^{[1
]}

Huang Chunqing ^{[1
]}

Qiu Xiaobin ^{[1
]}

机构：

[1] Xiamen Univ, Dept Automat, Xiamen 361005, Fujian Province, Peoples R China

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS | 2009年

关键词：

SIFT features; face recognition;

D O I：

10.1109/ICMA.2009.5246016

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The SIFT features performs quite well on object identification. The features are invariant to image scale, rotation and robust to the noise and illumination. However, the face recognition based on SIFT features have rarely investigated systematically. This paper proposes a simple approach to solve face recognition problems based on SIFT features. It made use of three frontal facial image per person as training image and applied matching features threshold to accept or discard face image, hence there more than one image is available to choose the image of maximum matching features of these image for query image. The experimental results demonstrate the efficacy of the proposed.

引用

页码：2442 / 2446

页数：5

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