异质人脸检测

A. Das, R. Kumar, D. Kisku
{"title":"异质人脸检测","authors":"A. Das, R. Kumar, D. Kisku","doi":"10.1145/2896387.2896417","DOIUrl":null,"url":null,"abstract":"Face detection is the process of determining the location of human faces in an image. Like human visual system, a face detection system should also be capable of achieving the detection task irrespective of illumination, absence of texture, orientation and camera distance. Detecting faces in heterogeneous, infrared and thermal images is a challenging job due to variation in texture, orientation, lighting condition, intensity etc. Many researchers have worked and proposed various methods for visible faces in the domain of face detection. However, face detection with the existing algorithm in heterogeneous face images is found quite difficult one. This paper attempts to improve the accuracy of an existing face detection algorithm which was basically designed for detecting visible faces, can now be used to detect heterogeneous faces by applying various image enhancement techniques before face detection. The proposed improved algorithm is suitable for heterogeneous face images which include thermal images, infrared images in the crowd. Attempts for the same have been tested on test image dataset. The experimental results are found to be encouraging.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"41 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Heterogeneous Face Detection\",\"authors\":\"A. Das, R. Kumar, D. Kisku\",\"doi\":\"10.1145/2896387.2896417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Face detection is the process of determining the location of human faces in an image. Like human visual system, a face detection system should also be capable of achieving the detection task irrespective of illumination, absence of texture, orientation and camera distance. Detecting faces in heterogeneous, infrared and thermal images is a challenging job due to variation in texture, orientation, lighting condition, intensity etc. Many researchers have worked and proposed various methods for visible faces in the domain of face detection. However, face detection with the existing algorithm in heterogeneous face images is found quite difficult one. This paper attempts to improve the accuracy of an existing face detection algorithm which was basically designed for detecting visible faces, can now be used to detect heterogeneous faces by applying various image enhancement techniques before face detection. The proposed improved algorithm is suitable for heterogeneous face images which include thermal images, infrared images in the crowd. Attempts for the same have been tested on test image dataset. The experimental results are found to be encouraging.\",\"PeriodicalId\":342210,\"journal\":{\"name\":\"Proceedings of the International Conference on Internet of things and Cloud Computing\",\"volume\":\"41 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Internet of things and Cloud Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2896387.2896417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Internet of things and Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2896387.2896417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

人脸检测是在图像中确定人脸位置的过程。像人类的视觉系统一样,人脸检测系统也应该能够在光照、纹理、方向和相机距离的情况下完成检测任务。由于纹理、方向、光照条件和强度等方面的变化,在异构、红外和热图像中检测人脸是一项具有挑战性的工作。在人脸检测领域,许多研究者对可见人脸进行了研究并提出了各种方法。然而,现有算法在异构人脸图像中检测难度较大。现有的人脸检测算法基本上是为检测可见人脸而设计的,本文试图通过在人脸检测之前应用各种图像增强技术来提高算法的准确性,使其可以用于检测异构人脸。本文提出的改进算法适用于包括热图像、红外图像在内的异质人脸图像。同样的尝试已经在测试图像数据集上进行了测试。实验结果令人鼓舞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heterogeneous Face Detection
Face detection is the process of determining the location of human faces in an image. Like human visual system, a face detection system should also be capable of achieving the detection task irrespective of illumination, absence of texture, orientation and camera distance. Detecting faces in heterogeneous, infrared and thermal images is a challenging job due to variation in texture, orientation, lighting condition, intensity etc. Many researchers have worked and proposed various methods for visible faces in the domain of face detection. However, face detection with the existing algorithm in heterogeneous face images is found quite difficult one. This paper attempts to improve the accuracy of an existing face detection algorithm which was basically designed for detecting visible faces, can now be used to detect heterogeneous faces by applying various image enhancement techniques before face detection. The proposed improved algorithm is suitable for heterogeneous face images which include thermal images, infrared images in the crowd. Attempts for the same have been tested on test image dataset. The experimental results are found to be encouraging.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信