■Annotated Database (Hand, Meat, LV Cardiac, IMM face) (http://www2.imm.dtu.dk/~aam/)
■AR Face Database (http://cobweb.ecn.purdue.edu/~aleix/aleix_face_DB.html)
■BioID Face Database (http://www.bioid.com/downloads/facedb/index.php)
■Caltech Computational Vision Group Archive (Cars, Motorcycles, Airplanes, Faces, Leaves, Background) (http://www.vision.caltech.edu/html-files/archive.html)
■Carnegie Mellon Image Database (motion, stereo, face, car, ...) (http://vasc.ri.cmu.edu/idb/)
■CAS-PEAL Face Database (http://www.jdl.ac.cn/peal/index.html)
■CMU Cohn-Kanade AU-Coded Facial Expression Database (http://www.ri.cmu.edu/projects/project_421.html
■CMU Face Detection Databases (http://www.ri.cmu.edu/projects/project_419.html)
■CMU Face Expression Database (http://amp.ece.cmu.edu/projects/FaceAuthentication/download.htm)
■CMU Face Pose, Illumination, and Expression (PIE) Database (http://www.ri.cmu.edu/projects/project_418.html)
■CMU VASC Image Database (motion, road sequences, stereo, CIL’s stereo data with ground truth, JISCT, face, face expressions, car) (http://www.ius.cs.cmu.edu/idb/)
■Content-based Image Retrieval Database (http://www.cs.washington.edu/research/imagedatabase/groundtruth/)
■Face Video Database of the Max Planck Institute for Biological Cybernetics (http://vdb.kyb.tuebingen.mpg.de/)
■FERET Database (http://www.frvt.org/)
■FERET Color Database (http://www.itl.nist.gov/iad/humanid/colorferet/home.html http://face.nist.gov/colorferet/ )
■Georgia Tech Face Database (http://www.anefian.com/face_reco.htm)
■German Fingerspelling Database (http://www.anefian.com/face_reco.htm )
■Indian Face Database (http:// www.cs.umass.edu/~vidit/IndianFaceDatabase)
■MIT-CBCL Car Database (http://cbcl.mit.edu/software-datasets/CarData.html)
■MIT-CBCL Face Recognition Database (http://cbcl.mit.edu/software-datasets/heisele/facerecognition-database.html)
■MIT-CBCL Face Databases (http://cbcl.mit.edu/software-datasets/FaceData2.html)
■MIT-CBCL Pedestrian Database (http://cbcl.mit.edu/software-datasets/PedestrianData.html)
■MIT-CBCL Street Scenes Database (http://cbcl.mit.edu/software-datasets/streetscenes/)
■NIST/Equinox Visible and Infrared Face Image Database (http://www.equinoxsensors.com/products/HID.html)
■NIST Fingerprint Data at Columbia (Link)
■ORL Database of Faces (http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html)
■Rutgers Skin Texture Database (http://www.caip.rutgers.edu/rutgers_texture/)
■The Japanese Female Facial Expression (JAFFE) Database (http://www.kasrl.org/jaffe.html
■The Ohio State University SAMPL Image Database (3D, still, motion) (http://sampl.ece.ohio-state.edu/database.htm)
■The University of Oulu Physics-Based Face Database (http://www.ee.oulu.fi/research/imag/color/pbfd.html)
■UMIST Face Database (http://images.ee.umist.ac.uk/danny/database.html)
■USF Range Image Data (with ground truth) (http://marathon.csee.usf.edu/range/DataBase.html)
■Usenix Face Database (hundreds of images, several formats) (Link)
■UCI Machine Learning Repository (http://www1.ics.uci.edu/~mlearn/MLSummary.html)
■USC-SIPI Image Database (collection of digitized images) (http://sipi.usc.edu/services/database/Database.html)
■UCD VALID Database (multimodal for still face, audio, and video) (http://ee.ucd.ie/validdb/)
■UCD Color Face Image (UCFI) Database for Face Detection (http://ee.ucd.ie/~prag/)
■UCL M2VTS Multimodal Face Database (http://www.tele.ucl.ac.be/PROJECTS/M2VTS/m2fdb.html)
■Vision Image Archive at UMass (sequences, stereo, medical, indoor, outlook, road, underwater, aerial, satellite, space and more) (http://sipi.usc.edu/database/)
■Where can I find Lenna and other images? (http://www.faqs.org/faqs/compression-faq/part1/section-30.html)
■Yale Face Database (http://cvc.yale.edu/projects/yalefaces/yalefaces.html)
■Yale Face Database B (http://cvc.yale.edu/projects/yalefaces/yalefaces.html)
目前人臉識別領(lǐng)域常用的人臉數(shù)據(jù)庫主要有:
1. FERET人臉數(shù)據(jù)庫[2]
由FERET項(xiàng)目創(chuàng)建,包含14,051張多姿態(tài),光照的灰度人臉圖像,是人臉識別領(lǐng)域應(yīng)用最廣泛
的人臉數(shù)據(jù)庫之一.其中的多數(shù)人是西方人,每個(gè)人所包含的人臉圖像的變化比較單一.
2. MIT人臉數(shù)據(jù)庫[4]
由麻省理工大學(xué)媒體實(shí)驗(yàn)室創(chuàng)建,包含16位志愿者的2,592張不同姿態(tài),光照和大小的面部圖像.
3. Yale人臉數(shù)據(jù)庫[5]
由耶魯大學(xué)計(jì)算視覺與控制中心創(chuàng)建,包含15位志愿者的165張圖片,包含光照,表情和姿態(tài)
的變化.
4. Yale人臉數(shù)據(jù)庫B[6]
包含了10個(gè)人的5,850幅多姿態(tài),多光照的圖像.其中的姿態(tài)和光照變化的圖像都是在嚴(yán)格控制
的條件下采集的,主要用于光照和姿態(tài)問題的建模與分析.由于采集人數(shù)較少,該數(shù)據(jù)庫的進(jìn)一步應(yīng)
用受到了比較大的限制.
5. PIE人臉數(shù)據(jù)庫[7]
由美國卡耐基梅隆大學(xué)創(chuàng)建,包含68位志愿者的41,368張多姿態(tài),光照和表情的面部圖像.其
中的姿態(tài)和光照變化圖像也是在嚴(yán)格控制的條件下采集的,目前已經(jīng)逐漸成為人臉識別領(lǐng)域的一個(gè)重
要的測試集合.
6. ORL人臉數(shù)據(jù)庫[8]
由劍橋大學(xué)AT&T實(shí)驗(yàn)室創(chuàng)建,包含40人共400張面部圖像,部分志愿者的圖像包括了姿態(tài),
表情和面部飾物的變化.該人臉庫在人臉識別研究的早期經(jīng)常被人們采用,但由于變化模式較少,多
數(shù)系統(tǒng)的識別率均可以達(dá)到90%以上,因此進(jìn)一步利用的價(jià)值已經(jīng)不大.
7. PF01人臉數(shù)據(jù)庫[9]
由韓國浦項(xiàng)科技大學(xué)創(chuàng)建,包含103人的1,751張不同光照,姿態(tài),表情的面部圖像,志愿者以
韓國人為主.
8. AR人臉數(shù)據(jù)庫[10]
由西班牙巴塞羅那計(jì)算機(jī)視覺中心建立,包含116人的3,288幅圖像.采集環(huán)境中的攝像機(jī)參數(shù),
光照環(huán)境,攝像機(jī)距離等都是嚴(yán)格控制的.
9. BANCA人臉數(shù)據(jù)庫[11]
該數(shù)據(jù)庫是歐洲BANCA計(jì)劃的一部分,包含了208人,每人12幅不同時(shí)間段的面部圖像.
10. KFDB人臉數(shù)據(jù)庫[12]
包含了1,000人,共52,000幅多姿態(tài),多光照,多表情的面部圖像,其中姿態(tài)和光照變化的圖像
是在嚴(yán)格控制的條件下采集的.志愿者以韓國人為主.
11. MPI人臉數(shù)據(jù)庫[13]
該人臉數(shù)據(jù)庫包含了200人的頭部3維結(jié)構(gòu)數(shù)據(jù)和1,400幅多姿態(tài)的人臉圖像.
12. XM2VTS人臉數(shù)據(jù)庫[14]
包含了295人在4個(gè)不同時(shí)間段的圖像和語音視頻片斷.在每個(gè)時(shí)間段,每人被記錄了2個(gè)頭部
旋轉(zhuǎn)的視頻片斷和6個(gè)語音視頻片斷.此外,其中的293人的3維模型也可得到.
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