Low Power Affordable and Efficient Face Detection in the Presence of Various Noises and Blurring Effects on a Single-Board Computer
Low Power Affordable and Efficient Face Detection in the Presence of Various Noises and Blurring Effects on a Single-Board Computer
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DOI：
10.1007/978-3-319-13728-5_13
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
S. Fernandes;Josemin G Bala
中科院分区：
文献类型：
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作者：
S. Fernandes;Josemin G Bala
直到今天，人脸检测一直是研究人员的热门话题。在数字媒体、智能用户界面、智能视觉监控和互动游戏等领域。实时捕获各种噪声和模糊效果的人脸图像。本文介绍了一种用于高效人脸检测的单板计算机系统，该系统在存在高斯噪声、椒盐噪声、运动模糊和高斯模糊的情况下都能很好地工作。基于树莓PI的单板计算机被用于实验，因为它消耗的功率更少，而且价格合理。通过在标准公共人脸数据库：Grimace、JAFEE、Indian Face、Caltech、Face 95、FEI-1、FEI-2上引入不同程度的噪声和模糊效果来测试开发的系统。在没有噪声和模糊效果的情况下，还使用标准公共人脸数据库测试系统：Grimace、JAFEE、India Face、Caltech、Face 95、FEI-1、FEI-2、头部姿势图像、主题和FGNET。该系统的主要优点是在存在噪声、模糊效果的情况下，以及在不同的面部表情和不同年龄阶段的情况下，具有很好的人脸检测率。为该系统开发了Python脚本，结果可按要求共享。
Till today face detection is a burning topic for the researchers. In the areas like digital media, intelligent user interface, intelligent visual surveillance and interactive games. Various noises and blurring effects face images captured in real time. Single board computer for efficient face detection system is introduced in this paper which works well in the presence of Gaussian Noise, Salt & Pepper Noise, Motion Blur and Gaussian Blur. Raspberry Pi based single-board computer is used for the experiments, because it consumes less power and is available at an affordable price. The developed system is tested by introducing varying degree of noises and blurring effects on standard public face databases: GRIMACE, JAFEE, INDIAN FACE, CALTECH, FACE 95, FEI – 1, FEI – 2. In the absence of noise and blurring effects also the system is tested using standard public face databases: GRIMACE, JAFEE, INDIAN FACE, CALTECH, FACE 95, FEI – 1, FEI – 2, HEAD POSE IMAGE, SUBJECT, and FGNET. The key advantage of the proposed system is excellent face detection rates in the presence of noises, blurring effects and also in the presence of varying facial expressions and across age progressions. Python scripts are developed for the system, resulted are shared on request.