<html xmlns="http://www.w3.org/TR/REC-html40" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:st1="urn:schemas-microsoft-com:office:smarttags"><head><title>CMSC828J Advanced Topics in Information Processing</title> <meta http-equiv="Content-Type" content="text/html; charset=windows-1252"> <meta content="Word.Document" name="ProgId"> <meta content="Microsoft Word 11" name="Generator"> <meta content="Microsoft Word 11" name="Originator"><link href="http://www.cs.umd.edu/%7Edjacobs/CMSC828/CMSC828J06_files/filelist.xml" rel="File-List"><o:smarttagtype namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="City" downloadurl="http://www.5iamas-microsoft-com:office:smarttags"></o:smarttagtype><o:smarttagtype namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="PlaceName" downloadurl="http://www.5iantlavalamp.com/"></o:smarttagtype><o:smarttagtype namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="PlaceType" downloadurl="http://www.5iantlavalamp.com/"></o:smarttagtype><o:smarttagtype namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="place" downloadurl="http://www.5iantlavalamp.com/"></o:smarttagtype><!--[if gte mso 9]><xml> <o:DocumentProperties> <o:Author>David Jacobs</o:Author> <o:Template>Normal</o:Template> <o:LastAuthor>David Jacobs</o:LastAuthor> <o:Revision>11</o:Revision> <o:TotalTime>678</o:TotalTime> <o:Created>2006-01-26T02:19:00Z</o:Created> <o:LastSaved>2006-01-26T13:49:00Z</o:LastSaved> <o:Pages>1</o:Pages> <o:Words>3181</o:Words> <o:Characters>18138</o:Characters> <o:Company>umiacs</o:Company> <o:Lines>151</o:Lines> <o:Paragraphs>42</o:Paragraphs> <o:CharactersWithSpaces>21277</o:CharactersWithSpaces> <o:Version>11.6360</o:Version> </o:DocumentProperties> </xml><![endif]--><!--[if gte mso 9]><xml> <w:WordDocument> <w:Zoom>127</w:Zoom> <w:SpellingState>Clean</w:SpellingState> <w:GrammarState>Clean</w:GrammarState> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel> </w:WordDocument> </xml><![endif]--><!--[if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" LatentStyleCount="156"> </w:LatentStyles> </xml><![endif]--><!--[if !mso]> <OBJECT id=ieooui classid=clsid:38481807-CA0E-42D2-BF39-B33AF135CC4D></OBJECT> <STYLE> st1\:*{behavior:url(#ieooui) } </STYLE> <![endif]--> <style> <!-- /* Font Definitions */ @font-face {font-family:Tahoma; 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} </style> <![endif]--></head><body style="" lang="EN-US" link="blue" vlink="blue"> <h1 class="Section1" style=""><span style="font-size: 18pt; font-family: 'Courier New';">CMSC828B Advanced Topics in Information Processing: Recent Advances in Biometrics</span><o:p></o:p></h1> <div class="Section1"> <table class="MsoNormalTable" style="width: 100%;" border="0" cellpadding="0" cellspacing="5" height="30" width="100%"> <tbody><tr style="height: 15pt;"> <td height="20"> <p class="main-heading"><b><span style="color: black;">General Information</span></b></p></td></tr></tbody></table></div> <p class="MsoNormal"><span style="display: none;"><o:p>&nbsp;</o:p></span></p> <div class="Section1"> <table class="MsoNormalTable" style="width: 100%;" border="0" cellpadding="0" cellspacing="5" width="100%"> <tbody><tr style=""> <td width="3%"> <p class="MsoNormal">&nbsp;</p></td> <td width="97%"> <table class="MsoNormalTable" style="" border="0" cellpadding="0" cellspacing="0"> <tbody><tr style=""> <td> <p class="main-text"><b>Class Time&nbsp;&nbsp;</b></p></td> <td> <p class="main-text"> Mon., Wed: 3:30-4:45</p></td></tr> <tr style=""> <td> <p><b>Room</b></p></td> <td> <p>CSI 3120</p></td></tr> <tr style=""> <td> <p><b>Course Info</b></p></td> <td> <p>See below</p></td></tr> <tr style=""> <td valign="top"> <p><b>Text</b></p></td> <td> <p><st1:city style="background-position: left bottom; background-image: url(res://ietag.dll/#34/#1001); background-repeat: repeat-x;" tabindex="0" w:st="on"><st1:place style="background-position: left bottom; background-image: url(res://ietag.dll/#34/#1001); background-repeat: repeat-x;" tabindex="0" w:st="on">Readings</st1:place></st1:city> available&nbsp;in handouts&nbsp;and on web.&nbsp; See below&nbsp;</p></td></tr> <tr style=""> <td valign="top"> <p><b>Personnel</b><o:p></o:p></p></td> <td> <table class="MsoNormalTable" style="width: 225.75pt;" border="1" cellpadding="0" height="140" width="301"> <tbody><tr style="height: 14.25pt;"> <td height="19" width="82"> <p class="MsoNormal">&nbsp;</p></td> <td height="19" width="213"> <p><b>Instructor</b></p></td> <td height="19" width="10"> <p class="MsoNormal"><o:p>&nbsp;</o:p></p></td></tr> <tr style="height: 14.25pt;"> <td height="19" width="82"> <p><b>Name</b></p></td> <td height="19" width="213"> <p><a href="http://www.cs.umd.edu/%7Edjacobs">David Jacobs</a></p></td> <td height="19" width="10"> <p class="MsoNormal"><o:p>&nbsp;</o:p></p></td></tr> <tr style="height: 14.25pt;"> <td height="19" width="82"> <p><b>Email</b></p></td> <td height="19" width="213"> <p><span class="SpellE">djacobs</span> at <span class="SpellE">cs</span> dot <span class="SpellE">umd</span> dot <span class="SpellE">edu</span></p></td> <td height="19" width="10"> <p class="MsoNormal"><o:p>&nbsp;</o:p></p></td></tr> <tr style="height: 14.25pt;"> <td height="19" width="82"> <p><b>Office</b></p></td> <td height="19" width="213"> <p>AVW 4421</p></td> <td height="19" width="10"> <p class="MsoNormal"><o:p>&nbsp;</o:p></p></td></tr> <tr style="height: 0.25in;"> <td height="24" width="82"> <p><b>Office hours</b></p></td> <td height="24" width="213"> <p>Wed&nbsp;1:00-2:00 or by appt. (or just drop by).</p></td> <td height="24" width="10"> <p class="MsoNormal"><o:p>&nbsp;</o:p></p></td></tr></tbody></table> <p class="MsoNormal"><o:p></o:p></p></td></tr></tbody></table> <p class="MsoNormal"><o:p></o:p></p></td></tr></tbody></table></div> <p class="MsoNormal" style="">&nbsp;</p> <h2 class="MsoNormal" style="">Announcements</h2> <h2 class="Section1" style="">Description<span style="font-size: 10pt; font-family: 'Courier New';"><o:p> </o:p></span></h2> <p class="MsoNormal" style="">In biometrics we study methods for identifying organisms (usually people) from measurements of their characteristics.&nbsp; In this class we will read recent papers in order to understand the state of the art in biometrics.&nbsp; Topics considered will be based on student interest, but I expect to have a significant emphasis on face recognition, with a broad range of additional topics.&nbsp; This course is intended primarily for students with a research interest in biometrics or computer vision, and will <i><b>not</b></i> be a core MS or PhD class for CS students.</p> <p class="MsoNormal" style="">&nbsp;</p> <p class="MsoNormal" style="">Possible class topics include:</p> <ul> <li> <p class="MsoNormal" style=""> Face Recognition:</p> <ul> <li> <p class="MsoNormal" style=""> Lighting Variation</p> </li> <li> <p class="MsoNormal" style=""> Aging</p> </li> <li> <p class="MsoNormal" style=""> Pose Variation</p> </li> <li> <p class="MsoNormal" style=""> Expression Variation</p> </li> <li> <p class="MsoNormal" style=""> 3D information</p> </li> <li> <p class="MsoNormal" style=""> Linear subspace methods</p> </li> <li> <p class="MsoNormal" style=""> Learning-based methods</p> </li> <li> <p class="MsoNormal" style=""> Using morphable-3D models and 2D images</p> </li> <li> <p class="MsoNormal" style=""> Using web images.&nbsp; Check, for example, the <a href="http://vis-www.cs.umass.edu/lfw/results.html">LFW web page</a> for paper ideas.</p> </li> <li> <p class="MsoNormal" style=""> Visual psychology.</p> </li> <li> <p class="MsoNormal" style=""> Recent papers of interest.&nbsp; Suggested work includes:</p> <ul> <li> <p class="MsoNormal" style=""> Sparse representations for face recognition.&nbsp; See work, eg., by Ma, Sastry, Yang, Wright....</p> </li> <li> <p class="MsoNormal" style=""> Partial Least Squares.&nbsp; Schwartz, Guo and Davis</p> </li> <li> <p class="MsoNormal" style=""> Attributes for face recognition.&nbsp; See work from Belhumeur&#39;s group.</p> </li> </ul> </li> </ul> </li> <li> <p class="MsoNormal" style=""> Fingerprints</p> </li> <li> <p class="MsoNormal" style=""> Palm Prints</p> </li> <li> <p class="MsoNormal" style=""> Ears</p> </li> <li> <p class="MsoNormal" style=""> Iris</p> </li> <li> <p class="MsoNormal" style=""> Non-human biometrics </p> <ul> <li> <p class="MsoNormal" style=""> of individuals (eg., recognizing individual salamanders, or whales)</p> </li> <li> <p class="MsoNormal" style=""> of species (eg., identifying plant species).</p> </li> </ul> </li> <li> <p class="MsoNormal" style=""> DNA - Identification of individuals from DNA and/or DNA barcoding for species identification.</p> </li> <li> <p class="MsoNormal" style=""> Gait</p> </li> <li> <p class="MsoNormal" style=""> Speaker identification</p> </li> <li> <p class="MsoNormal" style=""> Multi-biometrics (information fusion)</p> </li> <li> <p class="MsoNormal" style=""> Secure biometrics</p> </li> <li> <p class="MsoNormal" style=""> Skeletons/Teeth</p> </li> <li> <p class="MsoNormal" style=""> Signatures</p> </li> </ul> <h2 class="Section1">Requirements</h2> <p class="MsoNormal" style="">Here is my current plan for the workload of the class.&nbsp; </p> <p class="MsoNormal" style=""> 1) Reports.&nbsp; Prior to class, students will read assigned papers and write a one page report summarizing and critiquing the work. Each student must turn in 14 reports.&nbsp; Students should not write a report for classes for which they are giving a presentation.</p> <p class="MsoNormal" style="">2) Presentation.&nbsp;&nbsp;Each student will take responsibility for presenting work during one class.&nbsp; This will include selecting two papers to be read by the class, and presenting this work and related work to the class.&nbsp; Students currently performing research in biometrics are encouraged to give a presentation about their research. In this case, the student should select two papers by other authors that provide appropriate background to this research.&nbsp; For detailed expectations of presentation, see this <a href="http://www.cs.umd.edu/~djacobs/CMSC828/rubric.pdf">rubric</a>.</p> <p class="MsoNormal" style="">3) Project.&nbsp; Students will implement and experiment with biometric methods, using real-world data sets.&nbsp; </p> <p class="MsoNormal" style="">4) Class Participation.<span style="">&nbsp; </span>Everyone should read papers before class and contribute to discussion of them. </p> <p class="MsoNormal" style="">Note: visitors or auditors are welcome.<span style="">&nbsp; </span>However, if you are attending a class in which we will discuss papers, you should complete a report on one of these papers (see requirement 1).</p> <h2 class="Section1">Class Schedule</h2> <table border="10" cellpadding="10"> <tr> <td class="style1"> Date</td> <td> Presenter</td> <td> Topic</td> <td> Reading</td> </tr> <tr> <td class="style1"> 1. 8/30</td> <td> Jacobs</td> <td> Introduction</td> <td> &nbsp;</td> </tr> <tr> <td class="style1"> 2. 9/1</td> <td> Jacobs</td> <td> Introduction to Linear Subspaces</td> <td> <a href="http://www.mitpressjournals.org/doi/abs/10.1162/jocn.1991.3.1.71"> Eigenfaces for Recognition </a> <br /> M. Turk and A. Pentland<br /> <br /> <span class="w1"><span style="font-family: Arial;"><font face="Times New Roman"> <span class="SpellE"><span style="color: rgb(0, 0, 204);"> <a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=598228&amp;isnumber=13123"> Eigenfaces</a></span></span><a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=598228&amp;isnumber=13123"><span style="color: rgb(0, 0, 204);"> vs. <span class="SpellE">Fisherfaces</span>: Recognition Using Class Specific Linear Projection</span></a></font></span></span><span style="font-size: 10pt; color: black; font-family: Arial;"><br /> </span><span style="font-size: 10pt; color: green; font-family: Arial;"> <font face="Times New Roman" size="3">PN <span class="SpellE">Belhumeur</span>, JP <span class="SpellE">Hespanha</span>, DJ <span class="SpellE">Kriegman</span></font></span></td> </tr> <tr> <td class="style1"> 3. 9/8</td> <td> Jacobs</td> <td> Introduction to lighting in face recognition</td> <td> ``On the Effect of Illumination and Face Recognition&#39;&#39; by Jeffrey Ho and David Kriegman.&nbsp; (See me for copy).<br /> <br /> ``<a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.147.1487&amp;rep=rep1&amp;type=pdf">From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose</a>,&#39;&#39; PAMI Vol. 23, No. 6 (2001).&nbsp; A. Georghiades, P. Belhumeur, and D. Kriegman.&nbsp; (Optional.&nbsp; This work is summarized in the above book chapter, but this contains more details).<br /> <br /> ``<a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.83.8325&amp;rep=rep1&amp;type=pdf"><span class="SpellE">Lambertian</span> Reflectance and Linear Subspaces</a>,&#39;&#39; <i> IEEE Trans. on Pattern Analysis and Machine Intelligence</i>, 25(2):218-233, (2003).<span style="">&nbsp; </span>R. <span class="SpellE">Basri</span> and D. Jacobs.&nbsp;</td> </tr> <tr> <td class="style1"> 4. 9/13</td> <td> Jacobs</td> <td> Introduction to Local Features</td> <td> ``<a href="http://reference.kfupm.edu.sa/content/l/o/local_feature_analysis__a_general_statis_34359.pdf">Local feature analysis: a general statistical theory for object representation,</a>&#39;&#39; Network: computation in neural systems, 1996.&nbsp; P. Penev and J. Atick.<br /> <br /> ``<a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.37.9020&amp;rep=rep1&amp;type=pdf">Distortion invariant object recognition in the dynamic link architecture</a>,&#39;&#39; PAMI, 1993.&nbsp; M. Lades, J. Vorbruggen, J. Buhmann, J. Lange, C. v.d. Valsburg, R. Wurtz, and W. Konen.</td> </tr> <tr> <td class="style1"> 5. 9/15</td> <td> Jacobs</td> <td> Introduction to the Psychology of Face Recognition</td> <td> ``<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=4052483">Face recognition by humans: nineteen results all computer vision researchers should know about</a>,&#39;&#39; Proceedings of the IEEE, 2006.&nbsp; P. Sinha, B. Balas, Y. Ostrovsky, and R. Russell.<br /> <br /> ``<a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.48.9542&amp;rep=rep1&amp;type=pdf">Generalization to novel images in upright and inverted faces</a>,&#39;&#39; Perception, 1996.&nbsp; Y. Moses, S. Ullman and S. Edelman.</td> </tr> <tr> <td class="style1"> 6. 9/20</td> <td> Abhishek Sharma</td> <td> Bayesian Face Recognition</td> <td> ``<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=598227&amp;tag=1">Probabilistic visual learning for object representation</a>,&#39;&#39; IEEE PAMI 1997, B. Moghaddam and A. Pentland.<br /> <br /> ``<a href="http://137.189.97.85/2004/CVPR04_Face3.pdf">Bayesian Face Recognition Using Support Vector Machine and Face Clustering</a>,&#39;&#39; CVPR 2004.&nbsp; Z. Li and X. Tang.</td> </tr> <tr> <td class="style1"> 7. 9/22</td> <td> Jonghyun Choi</td> <td> PLS for Face Recognition</td> <td> <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.85.7735&amp;rep=rep1&amp;type=pdf"> Overview and Recent Advances in Partial Least Squares </a>(R. Rosipal)<br /> <br /> <a href="http://www.umiacs.umd.edu/~schwartz/paper_camera_ready_ECCV_FaceRecognition.pdf"> A Robust and Scalable Approach to Face Identication</a> (W. Schwartz, H. Guo and L. Davis)</td> </tr> <tr> <td class="style1"> 8. 9/27</td> <td> Arijit Biswas</td> <td> Security in Biometrics</td> <td> ``<a href="http://www.google.com/url?sa=t&amp;source=web&amp;cd=1&amp;ved=0CBwQFjAA&amp;url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.63.1149%26rep%3Drep1%26type%3Dpdf&amp;rct=j&amp;q=combining%20crytography%20with%20biometrics%20pdf&amp;ei=gIaXTMvRHcGC8gafgqGNDA&amp;usg=AFQjCNFL3m8CYw4pKKXn225mjson91zQ8w&amp;sig2=d26T10-c8Y_u0oHGG1QgaQ&amp;cad=rja">Combining cryptography with biometrics effectively,</a>&#39;&#39;, University of Cambridge Technical Report, 2005.&nbsp; F. Hao, R. Anderson, and J. Daugman.<br /> <br /> ``<a href="http://www.google.com/url?sa=t&amp;source=web&amp;cd=3&amp;sqi=2&amp;ved=0CCgQFjAC&amp;url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.84.6943%26rep%3Drep1%26type%3Dpdf&amp;rct=j&amp;q=biometric%20encryption&amp;ei=foeXTN7WAoL68AbsoJSNDA&amp;usg=AFQjCNGDCXtpIyMwCgrG_BWWcUK0ifJTIA&amp;sig2=nMceEuPcawsa2aOIQHZwzQ&amp;cad=rja">Biometric encryption</a>,&#39;&#39; Chapter 22 in ICSA guide to Cryptography.&nbsp; C. Soutar, D. Roberge, A. Stoianov, R. Gilroy, and B. Kumar.</td> </tr> <tr> <td class="style1"> 9. 9/29</td> <td> Huy Tho Ho</td> <td> Pose in Face Recognition</td> <td> 1) X. Zhang and Y. Gao, &quot;Face Recognition across pose: A Review&quot;, Pattern Recognition, 2009.<br /> Link: <a href="http://linkinghub.elsevier.com/retrieve/pii/S0031320309001538" title="blocked::http://linkinghub.elsevier.com/retrieve/pii/S0031320309001538"> http://linkinghub.elsevier.com/retrieve/pii/S0031320309001538</a> <br /> <br /> 2) V. Blanz and T. Vetter, &quot;Face Recognition Based on Fitting a 3D Morphable Model&quot;, IEEE PAMI 2003. <br /> Link: <a href="http://dx.doi.org/10.1109/TPAMI.2003.1227983" title="blocked::http://dx.doi.org/10.1109/TPAMI.2003.1227983"> http://dx.doi.org/10.1109/TPAMI.2003.1227983</a></td> </tr> <tr> <td class="style1"> 10. 10/4</td> <td> Ching Lik Teo</td> <td> Infrared </td> <td> Stan Z. Li et al, &quot;Illumination Invariant Face Recognition Using Near Infrared Images&quot;, PAMI v29(4), April 2007: <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4107567" target="_blank" title="blocked::http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4107567"> http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4107567</a><br /> <br /> J. Wang et al, &quot;Fusion of Palmprint and Palm Vein Images for Person Recognition&nbsp; Based on &#39;Laplacianpalm&#39; Feature&quot;, CVPR 2007: <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4270384" title="blocked::http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4270384"> http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4270384</a></td> </tr> <tr> <td class="style1"> 11. 10/6</td> <td> Sumit Shekhar</td> <td> Sparse representations and dictionaries in Face Recognition</td> <td> Robust Face Recognition via Sparse Representation: <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4483511"> http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4483511</a> <br /> <br /> Discriminative K-SVD for dictionary learning in face recognition: <a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05539989"> http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05539989</a></td> </tr> <tr> <td class="style1"> 12. 10/11</td> <td> Anne Jorstad</td> <td> Expression in Face Recognition</td> <td> Recognizing Expression Variant Faces from a Single Sample Image per Class <a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=1211375"> http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=1211375</a> <br /> <br /> Face Recognition Using Local Binary Decisions <a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=4682537"> http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=4682537</a></td> </tr> <tr> <td class="style1"> 13. 10/13</td> <td> Rajiv Jain</td> <td> Signatures/Handwriting</td> <td> <div> <div> Automatic Writer Identication Using&nbsp;Connected-Component Contours and Edge-Based&nbsp;Features of Upper-Case Western Script</div> </div> <div> <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.61.7786&amp;rep=rep1&amp;type=pdf" title="blocked::http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.61.7786&amp;rep=rep1&amp;type=pdf"> http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.61.7786&amp;rep=rep1&amp;type=pdf</a></div> <div> <br /> </div> <div> Automatic Signature Verification: The State of the Art</div> <div> <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4603099&amp;tag=1" title="blocked::http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4603099&amp;tag=1"> http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4603099&amp;tag=1</a></div> <tr> <td class="style1"> 14. 10/18</td> <td> David Jacobs</td> <td> Fingerprints</td> <td> Fingerprint Matching, by A. Jain, J. Feng and K. Nandakumar<br /> <a href="http://biometrics.cse.msu.edu/Publications/Fingerprint/JainFpMatching_IEEEComp10.pdf"> http://biometrics.cse.msu.edu/Publications/Fingerprint/JainFpMatching_IEEEComp10.pdf</a> <br /> <br /> FingerCode: a filterbank for fingerprint representation and matching, by A. Jain, S. Prabhakar, L. Hong and S. Pankanti<br /> &nbsp;<a href="http://www.cse.msu.edu/biometrics/Publications/Fingerprint/MSU-CPS-98-36.pdf">http://www.cse.msu.edu/biometrics/Publications/Fingerprint/MSU-CPS-98-36.pdf</a></td> <br /> </td> </tr> </tr> <tr> <td class="style1"> 15. 10/20</td> <td> Joao Soares</td> <td> Lighting in Face Recognition</td> <td> Face Recognition from a Single Training Image under Arbitrary Unknown Lighting Using Spherical Harmonics, by Zhang and Samaras. PAMI 2006 <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1580481"> http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1580481</a> <br /> and <br /> Total variation models for variable lighting face recognition, by Chen, Yin, Zhou, Comaniciu, and Huang. PAMI 2006. <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1661553"> http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1661553</a></td> </tr> <tr> <td class="style1"> 16. 10/25</td> <td> Jonathon Phillips</td> <td> <span style="FONT-SIZE: 11pt">Using Challenge Problems to Advance Biometrics</span></td> <td> <font size="2"><span style="FONT-SIZE: 10pt"><font face="Arial">Phillips PJ, Scruggs WT, O Toole AJ, Flynn PJ, Bowyer KW, Schott CL, Sharpe M. &nbsp;<font color="#5999c9">FRVT 2006 and ICE 2006 large scale results. &nbsp;IEEE Trans. Pattern Analysis and Machine Intelligence. 2010</font>;32:831-846. <br /> </font><font color="#0000ff" face="Calibri, Verdana, Helvetica, Arial"><u> <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4803846" title="blocked::http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4803846"> http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4803846</a><br /> </u></font><font face="Arial"> <br /> </font></span></font><font face="Cambria"><span style="FONT-SIZE: 11pt"> Beveridge, J.R.; &nbsp;&nbsp;Givens, G.H.; &nbsp;&nbsp;Phillips, P.J.; &nbsp;&nbsp;Draper, B.A.; &nbsp;&nbsp;Yui Man Lui; &nbsp;&nbsp;&nbsp;<a href="http://www.cs.colostate.edu/~ross/research/papers/yr2008/focusFRVT2006.pdf">Focus on quality, predicting FRVT 2006 performance,</a> 8th IEEE International Conference on Automatic Face &amp; Gesture Recognition, 2008. </span></font></td> </tr> <tr> <td class="style1"> 17. 10/27</td> <td> David Jacobs</td> <td> Face Recognition in the Wild</td> <td> Eric Nowak and Frederic Jurie. <br /> <b>Learning visual similarity measures for comparing never seen objects.</b> <br /> <i>Computer Vision and Pattern Recognition (CVPR)</i>, 2007.<br /> <a href="http://lear.inrialpes.fr/people/nowak/dwl/cvpr07.pdf">[pdf]</a><br /> <br /> Yaniv Taigman, Lior Wolf, and Tal Hassner.<br /> <b>Multiple One-Shots for Utilizing Class Label Information.</b><br /> <i>British Machine Vision Conference (BMVC)</i>, 2009.<br /> <a href="http://www.openu.ac.il/home/hassner/projects/multishot/TWH_BMVC09_Multishot.pdf"> [pdf]</a></td> </tr> <tr> <td class="style1"> 18. 11/1</td> <td> David Jacobs</td> <td> Iris Recognition</td> <td> &nbsp;J. Daugman,  <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.6.2684&amp;rep=rep1&amp;type=pdf">How iris recognition works</a>, IEEE Trans. Circ.&nbsp;Syst.Video Technol., vol.14, no.1, pp. 21 30, 2004.<br /> <br /> J. R. Matey, O. Naroditsky, K. Hanna, R. Kolczynski, D. LoIacono,&nbsp;S. Mangru, M. Tinker, T. Zappia, W. Y. Zhao,  <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4052478&amp;tag=1">Iris on the MoveTM:&nbsp;acquisition of images for iris recognition in less constrained environments</a> ,&nbsp;Proc. IEEE, vol. 94, no. 11, pp. 1936 1946, 2006.</td> </tr> <tr> <td class="style1"> 19. 11/3</td> <td> David Jacobs</td> <td> Attributes</td> <td> <b>Attribute and Simile Classifiers for Face Verification.</b><br /> <i>International Conference on Computer Vision (ICCV)</i>, 2009.<br /> <a href="http://www1.cs.columbia.edu/CAVE/publications/pdfs/Kumar_ICCV09.pdf"> [pdf]</a><br /> <div class="gs_rt"> <h3> <a class="yC0" href="http://www.computer.org/portal/web/csdl/doi/10.1109/CVPRW.2009.5206772"> Describing objects by their <b>attributes</b></a></h3> </div> <span class="gs_ggs gs_fl"><a class="yC1" href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.149.9539&amp;rep=rep1&amp;type=pdf"> <span class="gs_ctg2">[PDF]</span> from psu.edu</a>&nbsp; </span> <font size="-1"><span class="gs_a">A Farhadi, I Endres, D Hoiem, D <b>Forsyth</b> - 2009 - computer.org</span></font></td> </tr> <tr> <td class="style1"> 20. 11/8</td> <td> Sameh Khamis</td> <td> Non-human biometrics</td> <td> Ravela, S.<br /> Shaping Receptive Fields for Affine Invariance<br /> IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2004)<br /> <a href="http://mitgcm.org/~sai/pubs/cvpr04f.pdf" title="blocked::http://mitgcm.org/~sai/pubs/cvpr04f.pdf"> http://mitgcm.org/~sai/pubs/cvpr04f.pdf</a><br /> <br /> Martinez-Munoz, G., Zhang, W., Payet, N., Todorovic, S., Larios, N., Yamamuro, A., Lytle, D., Moldenke, A., Mortensen, E., Paasch, R., Shapiro, L., Dietterich, T.<br /> Dictionary-Free Categorization of Very Similar Objects via Stacked Evidence Trees<br /> IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009)<br /> <a href="http://web.engr.oregonstate.edu/~tgd/publications/cvpr2009-evidence-trees.pdf" title="blocked::http://web.engr.oregonstate.edu/~tgd/publications/cvpr2009-evidence-trees.pdf"> http://web.engr.oregonstate.edu/~tgd/publications/cvpr2009-evidence-trees.pdf</a></td> </tr> <tr> <td class="style1"> 21. 11/10</td> <td> Lee Stearns</td> <td> Neuroscience of Face Recognition</td> <td> <div> <div> James V. Haxby, Elizabeth A. Hoffman, M. Ida Gobbini, &quot;Human neural systems for face recognition and social communication&quot;.</div> </div> <div> <a class="vt-p" href="http://www.sciencedirect.com/science/article/B6T4S-44WYJ5T-7/2/4a7c8e198e40ff447670cc62496c668e" title="blocked::http://www.sciencedirect.com/science/article/B6T4S-44WYJ5T-7/2/4a7c8e198e40ff447670cc62496c668e"> http://www.sciencedirect.com/science/article/B6T4S-44WYJ5T-7/2/4a7c8e198e40ff447670cc62496c668e</a></div> <div> <a class="vt-p" href="http://psy2.ucsd.edu/~dmacleod/221/cortex%20papers/haxbyface.pdf" title="blocked::http://psy2.ucsd.edu/~dmacleod/221/cortex papers/haxbyface.pdf"> http://psy2.ucsd.edu/~dmacleod/221/cortex%20papers/haxbyface.pdf</a></div> <div> <br /> </div> <div> <div> Martha J.&nbsp;Farah, Carol&nbsp;Rabinowitz, Graham E.&nbsp;Quinn, Grant T.&nbsp;Liu, &quot;Early Commitment of Neural Substrates for Face Recognition&quot;.</div> </div> <div> <a class="vt-p" href="http://search.ebscohost.com.proxy-um.researchport.umd.edu/login.aspx?direct=true&amp;db=pbh&amp;AN=4428983&amp;site=ehost-live" title="blocked::http://search.ebscohost.com.proxy-um.researchport.umd.edu/login.aspx?direct=true&amp;db=pbh&amp;AN=4428983&amp;site=ehost-live"> http://search.ebscohost.com.proxy-um.researchport.umd.edu/login.aspx?direct=true&amp;db=pbh&amp;AN=4428983&amp;site=ehost-live</a></div> </td> </tr> <tr> <td class="style1"> 22. 11/15</td> <td> Carlos Castillo</td> <td> Face Recognition with Pose</td> <td>Ahmed Ashraf, Simon Lucey, and Tsuhan Chen, <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.153.4102&amp;rep=rep1&amp;type=pdf"> Learning Patch Correspondences for Improved Viewpoint Invariant Face Recognition</a>, CVPR 2008.<br /> <br /> Carlos Castillo and David Jacobs.&nbsp; <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5010439&amp;tag=1"> Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose</a>.&nbsp; PAMI 2009.</tr> <tr><td> 23. 11/17</td> <td> Arpit Jain</td> <td> DNA-based biometrics</td> <td> A cryptographic biometric authentication system based on genetic fingerprints<br /> link: - <a href="http://laborkrone-web.e-module.de/getdoc2.php4?id=154&amp;idfield=MDB_UID&amp;table=MDB_Mediendaten&amp;docfield=MDB_attachment&amp;typefield=MDB_att_type&amp;namefield=MDB_att_name" target="_blank" title="blocked::http://laborkrone-web.e-module.de/getdoc2.php4?id=154&amp;idfield=MDB_UID&amp;table=MDB_Mediendaten&amp;docfield=MDB_attachment&amp;typefield=MDB_att_type&amp;namefield=MDB_att_name"> http://laborkrone-web.e-module.de/getdoc2.php4?id=154&amp;idfield=MDB_UID&amp;table=MDB_Mediendaten&amp;docfield=MDB_attachment&amp;typefield=MDB_att_type&amp;namefield=MDB_att_name</a><br /> <br /> Interpreting DNA evidence - <a href="http://www.jstor.org/stable/pdfplus/1403824.pdf?acceptTC=true" title="blocked::http://www.jstor.org/stable/pdfplus/1403824.pdf?acceptTC=true"> http://www.jstor.org/stable/pdfplus/1403824.pdf?acceptTC=true</a>&nbsp;<br /> </td> </tr> <tr> <td class="style1"> 24. 11/22</td> <td> Ashish Shrivastava</td> <td> Gait</td> <td> <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5540113&amp;tag=1"> Support vector regression for multi-view gait recognition based on local motion feature selection</a><br /> by W. Kusakunniran, Q. Wu, J. Zhang, and H. Li.<br /> <br /> <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5299188&amp;tag=1"> Self-calibrating view-invariant gait biometrics</a> by M. Goffredo, I. Bouchrika, J. Carter, and M. Nixon</td> </tr> <tr> <td class="style1"> 25. 11/24</td> <td> Cancelled</td> <td> Thanksgiving</td> <td> &nbsp;</td> </tr> <tr> <td class="style1"> 26. 11/29</td> <td> Sonia Ng</td> <td> Teeth</td> <td> <a href="http://ieeexplore.ieee.org.proxy-um.researchport.umd.edu/stamp/stamp.jsp?tp=&amp;arnumber=5414011"> RETRIEVING DENTAL RADIOGRAPHS FOR POST-MORTEM IDENTIFICATION </a> <br /> Ayman Abaza, Arun Ross, Hany Ammar<br /> <br /> <a href="http://ieeexplore.ieee.org.proxy-um.researchport.umd.edu/stamp/stamp.jsp?tp=&amp;arnumber=1562306"> Challenges of Developing an Automated Dental Identification System </a> <br /> Mohamed Abdel-Mottaleb, Omaima Nomir,Diaa Eldin Nassar , Gamal Fahmy, and Hany H. Ammatr </td> </tr> <tr> <td class="style1"> 27. 12/1</td> <td> David Jacobs</td> <td> Speaker Identification</td> <td> Kinnunen, T. and Li, H. 2010. <br /> <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.158.3297&amp;rep=rep1&amp;type=pdf"> An overview of text-independent speaker recognition: From features to supervectors.</a><br /> <br /> <font color="#000066" face="verdana,sans-serif" size="2"> <div> Burget Luka, Matjka Pavel, Schwarz Petr, Glembek OndYej, ernock Jan, <br /> &quot;<b><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.111.6302&amp;rep=rep1&amp;type=pdf">Analysis of feature extraction and channel compensation in GMM speaker recognition system</a></b>&quot;, <br /> In: <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, 2007.</div> </font></td> </tr> <tr> <td class="style1"> 28. 12/6</td> <td> David Jacobs</td> <td> Face Recognition</td> <td> Zhimin Cao, Qi Yin, Xiaoou Tang, and Jian Sun.<br /> <b>Face Recognition with Learning-based Descriptor.</b><br /> <i>Computer Vision and Pattern Recognition (CVPR)</i>, 2010.<br /> <a href="http://research.microsoft.com/en-us/um/people/jiansun/papers/CVPR10_FaceReco.pdf"> [pdf]</a><br /> <br /> Matthieu Guillaumin, Jakob Verbeek, and Cordelia Schmid.<br /> <b>Is that you? Metric Learning Approaches for Face Identification.</b><br /> <i>International Conference on Computer Vision (ICCV)</i>, 2009.<br /> <a href="http://lear.inrialpes.fr/pubs/2009/GVS09/GVS09.pdf">[pdf]</a></td> </tr> <tr> <td class="style1"> 29. 12/8</td> <td> Jacobs</td> <td> Conclusions</td> <td> &nbsp;</td> </tr> </table> <p class="Section1">&nbsp;</p> <p class="Section1">&nbsp;</p> <p class="Section1">&nbsp;</p> <p align="center" class="section1" style="text-align: center;"> <strong><span style="font-size: 18pt;">Student Honor Code</strong></p> <p class="section1"> The University of Maryland, College Park has a nationally recognized Code of Academic Integrity, administered by the Student Honor Council. This Code sets standards for academic integrity at Maryland for all undergraduate and graduate students. As a student you are responsible for upholding these standards for this course. It is very important for you to be aware of the consequences of cheating, fabrication, facilitation, and plagiarism. For more information on the Code of Academic Integrity or the Student Honor Council, please visit http://www.shc.umd.edu. To further exhibit your commitment to academic integrity, remember to sign the Honor Pledge on all examinations and assignments: &quot;I pledge on my honor that I have not given or received any unauthorized assistance on this examination (assignment).&quot;</p> <p> &nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> </body></html>