nach oben

Erschienen in:

2017 | OriginalPaper | Buchkapitel

FaceMatch: Real-World Face Image Retrieval

verfasst von : Eugene Borovikov, Szilárd Vajda

Erschienen in: Recent Trends in Image Processing and Pattern Recognition

Verlag: Springer Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

We researched and developed a practical methodology for face and image retrieval (FIR) based on optimally weighted image descriptor ensemble. We describe a single-image-per-person (SIPP) face image retrieval system for real-world applications that include large photo collection search, person location in disaster scenarios, semi-automatic image data annotation, etc. Our system provides efficient means for face detection, matching and annotation, working with unconstrained digital photos of variable quality, requiring no time-consuming training, yet showing a commercial performance level at its sub-tasks. Our system benefits public by providing practical FIR technology, annotated image data and web-services to a real-world family reunification system.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Circular Foreign Object Detection in Chest X-ray Images

Nächstes Kapitel Evaluation of Texture Features for Biometric Verification System Using Handvein and Finger Knuckleprint

Vsisually almost identical.

Unique alpha-numerical sequence, not revealing the true person identity.

Caltech frontal face dataset. http://www.vision.caltech.edu/archive.html

The color FERET database. http://www.nist.gov/itl/iad/ig/colorferet.cfm

Ahonen, T., Hadid, A., Pietikäinen, M.: Face recognition with local binary patterns. In: Pajdla, T., Matas, J. (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469–481. Springer, Heidelberg (2004). doi:10.1007/978-3-540-24670-1_36 CrossRef

Azeem, A., Sharif, M., Raza, M., Murtaza, M.: A survey: face recognition techniques under partial occlusion. Int. Arab J. Inf. Technol. 11(1), 1–10 (2014)

Bay, H., Tuytelaars, T., Gool, L.V.: SURF: speeded up robust features. In: European Conference on Computer Vision, pp. 404–417 (2006)

Beham, M.P., Roomi, S.M.M.: A review of face recognition methods. Int. J. Pattern Recogn. Artif. Intell. 27(04), 1356005 (2013). http://www.worldscientific.com/doi/abs/10.1142/S0218001413560053 CrossRef

Beveridge, J., Phillips, P., Bolme, D., Draper, B., Givens, G., Lui, Y.M., Teli, M., Zhang, H., Scruggs, W., Bowyer, K., Flynn, P., Cheng, S.: The challenge of face recognition from digital point-and-shoot cameras. In: 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp. 1–8, September 2013

Borovikov, E., Vajda, S., Lingappa, G., Antani, S., Thoma, G.: Face matching for post-disaster family reunification. In: IEEE International Conference on Healthcare Informatics, pp. 131–140, September 2013

Chum, O., Pajdla, T., Sturm, P.: The geometric error for homographies. Comput. Vis. Image Underst. 97(1), 86–102 (2005). http://www.sciencedirect.com/science/article/pii/S1077314204000244 CrossRef

10.

Dharani, T., Aroquiaraj, I.: A survey on content based image retrieval. In: 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering (PRIME), pp. 485–490, February 2013

11.

van Erp, M., Schomaker, L.: Variants of the borda count method for combining ranked classifier hypotheses. In: 7th International Workshop on Frontiers in Handwriting Recognition, pp. 443–452 (2000)

12.

Fawcett, T.: An introduction to ROC analysis. Pattern Recogn. Lett. 27(8), 861–874 (2006). ROC Analysis in Pattern Recognition. http://www.sciencedirect.com/science/article/pii/S016786550500303X MathSciNetCrossRef

13.

Gao, Y., Qi, Y.: Robust visual similarity retrieval in single model face databases. Pattern Recogn. 38(7), 1009–1020 (2005)CrossRef

14.

Huang, G.B., Ramesh, M., Berg, T., Learned-Miller, E.: Labeled faces in the wild: a database for studying face recognition in unconstrained environments. University of Massachusetts, Amherst, Technical report (2007)

15.

Jacobs, C.E., Finkelstein, A., Salesin, D.H.: Fast multiresolution image querying. In: Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques, pp. 277–286. ACM, New York (1995)

16.

Jafri, R., Arabnia, H.R.: A survey of face recognition techniques. JiPS 5(2), 41–68 (2009)

17.

Jain, A., Klare, B., Park, U.: Face matching and retrieval in forensics applications. MultiMedia 19(1), 20–20 (2012). IEEECrossRef

18.

Jain, V., Learned-Miller, E.: FDDB: a benchmark for face detection in unconstrained settings. Technical report UM-CS-2010-009, University of Massachusetts, Amherst (2010)

19.

Jain, V., Mukherjee, A.: The indian face database (2002). http://vis-www.cs.umass.edu/~vidit/IndianFaceDatabase/

20.

Kim, E., Huang, X., Heflin, J.: Finding VIPs - a visual image persons search using a content property reasoner and web ontology. In: 2011 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–7, July 2011

21.

Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91–110 (2004)CrossRef

22.

Lu, C., Tang, X.: Surpassing human-level face verification performance on LFW with GaussianFace. CoRR abs/1404.3840 (2014)

23.

Muja, M., Lowe, D.G.: Fast approximate nearest neighbors with automatic algorithm configuration. In: International Conference on Computer Vision Theory and Applications, pp. 331–340 (2009)

24.

Naruniec, J.: A survey on facial features detection. Int. J. Electron. Telecommun. 56(3), 267–272 (2010)CrossRef

25.

Nelder, J.A., Mead, R.: A simplex method for function minimization. Comput. J. 7(4), 308–313 (1965)MathSciNetCrossRefMATH

26.

Rublee, E., Rabaud, V., Konolige, K., Bradski, G.: ORB: an efficient alternative to SIFT or SURF. In: IEEE International Conference on Computer Vision, pp. 2564–2571, November 2011

27.

Scheirer, W.J., Kumar, N., Iyer, V.N., Belhumeur, P.N., Boult, T.E.: How reliable are your visual attributes? In: Proceedings of SPIE, vol. 8712, pp. 87120Q-1–87120Q-12 (2013)

28.

Sharif, M., Mohsin, S., Javed, M.Y.: A survey: face recognition techniques. Res. J. Appl. Sci. Eng. Technol. 4(23), 4979–4990 (2012)

29.

Taigman, Y., Yang, M., Ranzato, M.A., Wolf, L.: Deepface: closing the gap to human-level performance in face verification. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2014)

30.

Tan, X., Chen, S., Zhou, Z.H., Zhang, F.: Face recognition from a single image per person: a survey. Pattern Recogn. 39(9), 1725–1745 (2006)CrossRefMATH

31.

Thoma, G., Antani, S., Gill, M., Pearson, G., Neve, L.: People Locator: a system for family reunification. IT Prof. 14, 13–21 (2012)CrossRef

32.

Wolf, L., Hassner, T., Taigman, Y.: The one-shot similarity kernel. In: International Conference on Computer Vision, pp. 897–902. http://www.openu.ac.il/home/hassner/projects/Ossk

33.

Zhang, C., Zhang, Z.: A survey of recent advances in face detection. Technical report, Microsoft (2010)

34.

Zhou, H., Mian, A., Wei, L., Creighton, D., Hossny, M., Nahavandi, S.: Recent advances on singlemodal and multimodal face recognition: a survey. IEEE Trans. Hum. Mach. Syst. 44(6), 701–716 (2014)CrossRef

35.

Zuliani, M., Kenney, C.S., Manjunath, B.S.: The multiRANSAC algorithm and its application to detect planar homographies. In: IEEE International Conference on Image Processing. http://vision.ece.ucsb.edu/publications/05ICIPMarco.pdf

Titel: FaceMatch: Real-World Face Image Retrieval
verfasst von: Eugene Borovikov
Szilárd Vajda
Verlag: Springer Singapore
Buch: Recent Trends in Image Processing and Pattern Recognition
Print ISBN: 978-981-10-4858-6

Electronic ISBN: 978-981-10-4859-3

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-981-10-4859-3_36

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"