• PUDN用户
    了解作者
  • matlab
    开发工具
  • 1.1MB
    文件大小
  • rar
    文件格式
  • 0
    收藏次数
  • 1 积分
    下载积分
  • 14
    下载次数
  • 2011-11-09 22:39
    上传日期
本人写的关于红外人脸图像归一化研究,消除红外人脸识别系统中环境温度的影响。
Infrared-normalization.rar
  • Blood_Perfusion_Models_for_Infrared_Face_Recognition.pdf
    1.1MB
内容介绍
<html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta charset="utf-8"> <meta name="generator" content="pdf2htmlEX"> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> <link rel="stylesheet" href="https://static.pudn.com/base/css/base.min.css"> <link rel="stylesheet" href="https://static.pudn.com/base/css/fancy.min.css"> <link rel="stylesheet" href="https://static.pudn.com/prod/directory_preview_static/622b578715da9b288bc328e7/raw.css"> <script src="https://static.pudn.com/base/js/compatibility.min.js"></script> <script src="https://static.pudn.com/base/js/pdf2htmlEX.min.js"></script> <script> try{ pdf2htmlEX.defaultViewer = new pdf2htmlEX.Viewer({}); }catch(e){} </script> <title></title> </head> <body> <div id="sidebar" style="display: none"> <div id="outline"> </div> </div> <div id="pf1" class="pf w0 h0" data-page-no="1"><div class="pc pc1 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/622b578715da9b288bc328e7/bg1.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">13 </div><div class="t m0 x2 h3 y2 ff1 fs1 fc0 sc0 ls1 ws1">Blood Perfusion Models for </div><div class="t m0 x3 h3 y3 ff1 fs1 fc0 sc0 ls1 ws0">Infrared Face Recognition </div><div class="t m0 x4 h4 y4 ff2 fs2 fc0 sc0 ls2 ws2">Shiqian Wu, Zhi-Jun Fang, Zhi-Hua Xie and Wei Liang </div><div class="t m0 x5 h5 y5 ff3 fs3 fc0 sc0 ls3 ws3">School of information technology, <span class="_ _0"></span>Jiangx<span class="ls4 ws4">i University of Finance and Economics, </span></div><div class="t m0 x6 h5 y6 ff3 fs3 fc0 sc0 ls5 ws0">China </div><div class="t m0 x7 h6 y7 ff1 fs3 fc0 sc0 ls6 ws5">1. Introduction </div><div class="t m0 x7 h7 y8 ff2 fs4 fc0 sc0 ls7 ws6">Infrared (IR) technology has traditionally been<span class="ls0 ws7"> applied to military u<span class="_ _0"></span>se and remote sensing. </span></div><div class="t m0 x7 h7 y9 ff2 fs4 fc0 sc0 ls7 ws8">During the last two decades, the cost of IR <span class="ls8 ws9">cameras (especially un<span class="_ _0"></span>cooled imagers) has been </span></div><div class="t m0 x7 h7 ya ff2 fs4 fc0 sc0 ls9 wsa">significantly reduced with the developmen<span class="_ _0"></span><span class="lsa wsb">t of CCD technology, and therefore civil </span></div><div class="t m0 x7 h7 yb ff2 fs4 fc0 sc0 ls0 ws7">applications have increased constantly due to <span class="wsc">its un<span class="_ _0"></span>ique features. One of such applications </span></div><div class="t m0 x7 h7 yc ff2 fs4 fc0 sc0 lsb wsd">is IR face recognition (Prokoski et al., <span class="lsa wse">19<span class="_ _0"></span>92, Prokoski, 2000, Kong et al., 2005). The </span></div><div class="t m0 x7 h7 yd ff2 fs4 fc0 sc0 lsc wsf">fundamentals behind it are, as indicated by Ko<span class="lsd ws10">ng et al (Kong et al., 2005) that IR images are </span></div><div class="t m0 x7 h7 ye ff2 fs4 fc0 sc0 lsc ws11">independent of external illumination. While<span class="ls9"> vi<span class="_ _0"></span>sible images represent the reflectance </span></div><div class="t m0 x7 h7 yf ff2 fs4 fc0 sc0 lsd ws12">information of the face surface, IR face imag<span class="lse ws13">es contain more fundamental information about </span></div><div class="t m0 x7 h7 y10 ff2 fs4 fc0 sc0 ls7 ws14">faces themselves, such <span class="lsa ws15">as anatomical information (Prokosk</span><span class="ws16">i, et al., 1992, <span class="_ _0"></span>Prokoski, 2000); the </span></div><div class="t m0 x7 h7 y11 ff2 fs4 fc0 sc0 ls7 ws17">thermal characteristics of faces with variat<span class="_ _0"></span>io<span class="lse ws18">ns in facial expression and make-up remain </span></div><div class="t m0 x7 h7 y12 ff2 fs4 fc0 sc0 lsf ws19">nearly invariant (Socolinsky &amp; Selinger, 2002) an<span class="ls8 ws1a">d the tasks of face detection, lo<span class="_ _0"></span>calization, </span></div><div class="t m0 x7 h7 y13 ff2 fs4 fc0 sc0 lsd ws1b">and segmentation are relatively easier and more<span class="ls7 ws1c"> reliable than those in visible <span class="_ _0"></span>images (Kong </span></div><div class="t m0 x7 h7 y14 ff2 fs4 fc0 sc0 ls9 ws1d">et al., 2005). It has been pointed by Prokoski <span class="lsf ws1e">et al. (<span class="_ _0"></span>Prokoski et al., 1992) that humans are </span></div><div class="t m0 x7 h7 y15 ff2 fs4 fc0 sc0 ls10 ws1f">homoiotherm and hence capable of maintaining constant temperature under different </div><div class="t m0 x7 h7 y16 ff2 fs4 fc0 sc0 lsc ws20">surroundings. The thermal imag<span class="_ _0"></span><span class="ws21">es collected over 20 years have demonstrated that t<span class="_ _0"></span>he </span></div><div class="t m0 x7 h7 y17 ff2 fs4 fc0 sc0 lsa ws22">thermal measurements of individuals are high<span class="ls11 ws23">ly repeatable under the same conditions. </span></div><div class="t m0 x7 h7 y18 ff2 fs4 fc0 sc0 ls12 ws24">Furthermore, as discuss<span class="_ _0"></span>ed by<span class="ls13 ws25"> Prokoski (Prokoski, 2000), a facia<span class="_ _0"></span>l thermal pattern is </span></div><div class="t m0 x7 h7 y19 ff2 fs4 fc0 sc0 lsb ws26">determined by the vascular structure of each<span class="_ _0"></span><span class="ls11 ws27"> face, which is <span class="_ _0"></span>irreproducible and un<span class="_ _0"></span>ique. </span></div><div class="t m0 x7 h7 y1a ff2 fs4 fc0 sc0 lsb ws28">Based on the assumption that facial therma<span class="ls14 ws29">l patterns are determined by blood vessels </span></div><div class="t m0 x7 h7 y1b ff2 fs4 fc0 sc0 lsd ws2a">transporting warm blood, Prokos<span class="ls9 ws2b">ki tried to extract the blood <span class="ls15 ws2c">vessel minutiae (Prokoski<span class="_ _1"></span>, </span></span></div><div class="t m0 x7 h7 y1c ff2 fs4 fc0 sc0 ls10 ws2d">2001) or vascular network (Buddharaju et al., <span class="lsf ws2e">2004, Buddharaju et al., 2005) as the facial </span></div><div class="t m0 x7 h7 y1d ff2 fs4 fc0 sc0 ls14 ws2f">features for recognition. The basic <span class="_ _0"></span>idea is to extract su<span class="_ _0"></span>ch features using image segm<span class="_ _0"></span>entation. </div><div class="t m0 x7 h7 y1e ff2 fs4 fc0 sc0 lsf ws30">It has been indicated by Guyt<span class="ls13 ws31">on &amp; Hall (Guyton &amp; Hall, 1996) th<span class="lsa ws32">at the average diameter of </span></span></div><div class="t m0 x7 h7 y1f ff2 fs4 fc0 sc0 lse ws33">blood vessels is around 10~15<span class="ff4 ls10 ws0">&#956;<span class="ff2 ls16">m<span class="_ _2"></span>,<span class="_ _2"></span> w<span class="_ _2"></span>h<span class="_ _2"></span>i<span class="_ _3"></span>c<span class="_ _2"></span>h<span class="_ _2"></span> i<span class="_ _2"></span>s<span class="_ _3"></span> t<span class="_ _2"></span>o<span class="_ _2"></span>o<span class="_ _2"></span> s<span class="_ _2"></span>m<span class="_ _3"></span>a<span class="_ _2"></span>l<span class="_ _2"></span>l<span class="_ _2"></span> t<span class="_ _2"></span>o<span class="_ _3"></span> b<span class="_ _2"></span>e<span class="_ _2"></span> d<span class="_ _2"></span>e<span class="_ _2"></span>t<span class="_ _3"></span>e<span class="_ _2"></span>c<span class="_ _2"></span>t<span class="_ _2"></span>e<span class="_ _3"></span>d<span class="_ _2"></span> b<span class="_ _2"></span>y<span class="_ _2"></span> c<span class="_ _2"></span>u<span class="_ _2"></span>r<span class="_ _2"></span>r<span class="_ _3"></span>e<span class="_ _2"></span>n<span class="_ _2"></span>t<span class="_ _2"></span> I<span class="_ _3"></span>R<span class="_ _2"></span> c<span class="_ _2"></span>a<span class="_ _2"></span>m<span class="_ _3"></span>e<span class="_ _2"></span>r<span class="_ _2"></span>a<span class="_ _2"></span>s<span class="_ _3"></span> </span></span></div><div class="t m0 x7 h7 y20 ff2 fs4 fc0 sc0 ls14 ws34">(limited by the spatial resolut<span class="_ _0"></span>ion); the skin di<span class="ls9 ws35">rectly above a blood vessel is <span class="_ _0"></span>on average 0.1&#176;C </span></div><div class="t m0 x7 h7 y21 ff2 fs4 fc0 sc0 ls17 ws36">warmer than the adjacent skin, which is beyond<span class="ls13 ws37"> the thermal accuracy of current IR cameras. </span></div><div class="t m0 x7 h7 y22 ff2 fs4 fc0 sc0 lse ws38">The methods using image segmentation in <span class="lsb ws39">(Prokoski, 2001, Buddharaju et al., 2004, </span></div><div class="t m0 x7 h7 y23 ff2 fs4 fc0 sc0 ls9 ws3a">Buddharaju et al., 2005) are heuristic, and it <span class="lse ws3b">still remains a big challenge to capture the </span></div><div class="t m0 x7 h7 y24 ff2 fs4 fc0 sc0 ls12 ws3c">pattern of blood vessels<span class="_ _0"></span> on each face. <span class="_ _0"></span> </div><div class="t m0 x7 h7 y25 ff2 fs4 fc0 sc0 lsd ws3d">On the other hand, the phenomenon of <span class="ls10 ws3e">&#8220;homoiotherm&#8221; due to human temperature </span></div><div class="t m0 x7 h7 y26 ff2 fs4 fc0 sc0 ls9 ws3f">regulation has led to the direct use of thermograms for recognition (Wilder et al., 1996, </div><div class="c x8 y27 w2 h8"><div class="t m1 x9 h9 y28 ff5 fs5 fc0 sc0 ls10 ws0">Open Access Database www.intechweb.org</div></div><div class="c xa y29 w3 ha"><div class="t m2 xb hb y2a ff6 fs6 fc0 sc0 ls10 ws0">Source: Recent Advances in Face Recognition, Book edited by: Kresimir Delac, Mislav Grgic and Marian Stewart Bartlett, </div><div class="t m2 xc hb y2b ff6 fs6 fc0 sc0 ls10 ws0">ISBN 978-953-7619-34-3, pp. 236, December 2008, I-Tech, Vienna, Austria</div></div></div><div class="pi" data-data='{"ctm":[1.991701,0.000000,0.000000,1.991701,0.000000,0.000000]}'></div></div> </body> </html>
评论
    相关推荐
    • infrared-receiver.rar
      AVR单片机开发板 mege16 红外接收程序
    • infrared.rar
      基于MSP430F149单片机的红外线检测程序,已经调试通过
    • infrared.rar
      16位系统码,16位操作码的红外接收解码程序
    • Infrared Counter.rar
      能够使用红外计数器监测人数,并将结果显示在1602液晶显示屏上
    • 红外遥控.rar
      一个基于keil4的c51单片机上的红外遥控程序,可以在c51上实现红外遥控功能。
    • Infrared-transmitter.zip
      红外发送代码, 通过atmega16实现红外发送代码功能
    • 红外小目标低秩表示检测源码
      红外小目标检测算法中的Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection源码
    • infrared:嵌入式Rust的红外远程控制库
      红外线的 用于使用红外硬件解码器(例如Vishay TSOP *解码器)的Rust库,从而实现了对嵌入式项目的远程控制支持。 该库旨在与实现嵌入式Hal特性的任何MCU Hal一起使用,同时提供用于更有效的实现(例如输入捕获)...
    • Infrared remote library
      Infrared remote library: send and receive infrared signals with multiple protocols. 红外IR应用必备参考; 可用于万用遥控器; 智能传感 IoT; 安卓平台适用
    • infrared.rar
      红外线遥控是目前使用最广泛的一种通信和遥控手段。由于红外线遥控装置具有体积小、功耗低、功能强、成本低等特点,