發(fā)布時(shí)間：2017-12-31 13:03

  本文關(guān)鍵詞：人臉圖像遠(yuǎn)距離識(shí)別技術(shù)研究　出處：《湖北工業(yè)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 人臉復(fù)原 人臉識(shí)別 人臉檢測(cè) 遠(yuǎn)距離識(shí)別

【摘要】：人臉識(shí)別技術(shù)自從上世紀(jì)60年代被提出以來,一直是研究熱點(diǎn),也是人工智能領(lǐng)域的重點(diǎn),尤其是近年來隨著安保圖像聯(lián)網(wǎng)、智能監(jiān)控和安保圖像云端計(jì)算等技術(shù)的快速推進(jìn),安保系統(tǒng)的人臉識(shí)別技術(shù)在嫌疑犯身份確認(rèn)、在逃人員通緝、重點(diǎn)場(chǎng)所布控、特殊人群身份確認(rèn)、戶籍管理等方面正逐步向?qū)嵱眠^渡。當(dāng)然,隨著監(jiān)控設(shè)備在城市的安裝,在實(shí)際應(yīng)用中很多時(shí)候需要在一定距離下對(duì)目標(biāo)物的身份確認(rèn),所以遠(yuǎn)距離的人臉圖像識(shí)別是一項(xiàng)具有重大理論意義和實(shí)際應(yīng)用價(jià)值的課題,如何利用計(jì)算機(jī)克服自然場(chǎng)景中的人臉的姿態(tài)變化和光線影響,進(jìn)而精確的檢測(cè)識(shí)別出人臉圖像,成為了目前圖像領(lǐng)域的熱門問題。本文介紹了目前人臉遠(yuǎn)距離識(shí)別的研究背景,剖析了人臉遠(yuǎn)距離識(shí)別的國(guó)內(nèi)外研究現(xiàn)狀,研究了人臉識(shí)別的工作原理和技術(shù),分析了系統(tǒng)的需求分析,提出了遠(yuǎn)距離的人臉圖像重構(gòu)以及遮擋下的人臉檢測(cè)和識(shí)別的課題和可行性方法。首先介紹了人臉識(shí)別的意義和技術(shù)發(fā)展過程,以及概括說明了人臉識(shí)別的通用架,總結(jié)了人臉識(shí)別的難點(diǎn)問題。例如:光照的變化、人臉姿態(tài)的變化、表情的變化、有遮擋物、天氣原因等外界因素的干擾等問題,這些因素都會(huì)影響到人臉識(shí)別的準(zhǔn)確度,因此,本文旨在研究遠(yuǎn)距離人臉識(shí)別在實(shí)際應(yīng)用識(shí)別中的應(yīng)用。為的就是能夠隨著技術(shù)進(jìn)步可以快速的、有效地發(fā)展遠(yuǎn)距離識(shí)別技術(shù)。最后測(cè)試了原型系統(tǒng)的性能。實(shí)驗(yàn)證明,該原型系統(tǒng)在人臉識(shí)別率和識(shí)別速度方面均表現(xiàn)良好,達(dá)到了系統(tǒng)預(yù)期的設(shè)計(jì)目標(biāo)。
[Abstract]:Since it was proposed in -40s, face recognition technology has been a hot topic in the field of artificial intelligence, especially with the security image networking in recent years. Intelligent surveillance and security image cloud computing technology advances rapidly, security system face recognition technology in the suspect identification, wanted by fugitives, key location control, special crowd identification. Household registration management and other aspects of the gradual transition to practical. Of course, with the installation of monitoring equipment in the city, many times in practical applications need to identify the object at a certain distance. So long-distance face image recognition is a topic of great theoretical significance and practical application value. How to use computer to overcome the change of human face attitude and the influence of light in natural scene. Then accurate detection and recognition of face image has become a hot issue in the field of image. This paper introduces the research background of face remote recognition and analyzes the research status of face remote recognition at home and abroad. The working principle and technology of face recognition are studied, and the requirement analysis of the system is analyzed. The task and feasibility method of face detection and recognition under occlusion are put forward. Firstly, the significance and technical development of face recognition are introduced. And generalize the general frame of face recognition, summarize the difficult problems of face recognition, such as: the change of illumination, the change of face pose, the change of expression, and the occlusion. Weather factors and other external factors such as interference, these factors will affect the accuracy of face recognition, so. The purpose of this paper is to study the application of long-distance face recognition in practical applications. Finally, the performance of the prototype system is tested. Experiments show that the prototype system performs well in face recognition rate and recognition speed, and achieves the desired design goal.
【學(xué)位授予單位】：湖北工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前5條

1 王小玉;張亞洲;陳德運(yùn);;基于多塊局部二值模式特征和人眼定位的人臉檢測(cè)[J];儀器儀表學(xué)報(bào);2014年12期

2 薛丹丹;;基于眼和嘴定位的人臉歸一化算法研究[J];電子測(cè)試;2012年09期

3 唐t;李青;;一種快速的模板匹配算法[J];計(jì)算機(jī)應(yīng)用;2010年06期

4 沈\，

本文編號(hào)：1359867