Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Applying Biometric Principles to Avatar Recognition

  • Chapter
Transactions on Computational Science XII

Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 6670))

Abstract

Domestic and industrial robots, intelligent software agents, and virtual world avatars are quickly becoming a part of our society. Just like it is necessary to be able to accurately authenticate identity of human beings, it is becoming essential to be able to determine identities of the non-biological entities. This paper presents current state of the art in virtual reality security, focusing specifically on emerging methodologies for avatar authentication. It also makes a strong link between avatar recognition and current biometric research. Finally, future directions and potential applications for this high impact research field are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Ahn, L.v., Blum, M., Hopper, N., Langford, J.: CAPTCHA: Using Hard AI Problems for Security. In: Biham, E. (ed.) EUROCRYPT 2003. LNCS, vol. 2656, Springer, Heidelberg (2003)

    Google Scholar 

  2. Asoh, H., Hayamizu, S., Hara, I., Motomura, Y., Akaho, S., Matsui, T.: Socially embedded learning of the office-conversant mobile robot jijo-2. In: 15th International Joint Conference on Artificial Intelligence, IJCAI (1997)

    Google Scholar 

  3. Baird, H.S., Bentley, J.L.: Implicit CAPTCHAs. In: Proceedings of the SPIE/IS&T Conference on Document Recognition and Retrieval XII (DR&R 2005), San Jose, CA (January 2005)

    Google Scholar 

  4. Bentley, J., Mallows, C.L.: CAPTCHA challenge strings: problems and improvements, Document Recognition & Retrieval, January 18-19 (2006)

    Google Scholar 

  5. Boyd, R.S.: Feds thinking outside the box to plug intelligence gaps, http://www.mcclatchydc.com/2010/03/29/91280/feds-thinking-outside-the-box.html (retrieved April 10, 2010)

  6. Charles, J.S., Rosenberg, C., Thrun, S.: Spontaneous, Short-term Interaction with Mobile Robots. In: IEEE International Conference on Robotics and Automation, pp. 658–663 (1999)

    Google Scholar 

  7. Chen, K.-J., Barthes, J.-P.: Giving an Office Assistant Agent a Memory Mechanism. In: 7th IEEE International Conference on Cognitive Informatics (ICCI), Compiegne, pp. 402–410 (2008)

    Google Scholar 

  8. Cole, J.: Osama bin Laden’s Second Life, Salon (2008), http://www.salon.com/opinion/feature/2008/02/25/avatars/ (retrieved June 7, 2009)

  9. Corney, M., Vel, O.d., Anderson, A., Mohay, G.: Gender-preferential text mining of e-mail discourse. In: 18th Annual Computer Security Applications Conference, Brisbane, Australia, pp. 282–289 (2002)

    Google Scholar 

  10. Craw, I., Tock, D., Bennett, A.: Finding Face Features. In: Second European Conference on Computer Vision, Santa Margherita Ligure, Italy, pp. 92–96 (1992)

    Google Scholar 

  11. Dai, Y., Nakano, Y.: Face-Texture Model Based on SGLD and Its Application in Face Detection in a Color Scene. Pattern Recognition 29(6), 1007–1017 (1996)

    Article  Google Scholar 

  12. Fisher, R.: Avatars can’t hide your lying eyes, New Scientist, vol. (2755) (April 8, 2010), www.newscientist.com/article/mg20627555.600-avatars-cant-hide-your-lying-eyes.html

  13. Fong, T.W., Nourbakhsh, I., Dautenhahn, K.: A survey of socially interactive robots. Robotics and Autonomous Systems 42, 143–166 (2003)

    Article  MATH  Google Scholar 

  14. Frantzeskou, G., Gritzalis, S., MacDonell, S.: Source Code Authorship Analysis for Supporting the Cybercrime Investigation Process. In: 1st International Conference on eBusiness and Telecommunication Networks - Security and Reliability in Information Systems and Networks Track, pp. 85–92. Kluwer Academic Publishers, Setubal (2004)

    Google Scholar 

  15. Gao, W., Cao, B., Shan, S., Chen, X., Zhou, D., Zhang, X., Zhao, D.: The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations. IEEE Transactions on Systems, Man and Cybernetics, Part A 38(1), 149–161 (2008)

    Article  Google Scholar 

  16. Gavrilova, M.L.: Algorithms in 3d real-time rendering and facial expression modeling, 3IA 2006 Plenary Lecture. Eurographics, 5–8 (May 2006)

    Google Scholar 

  17. Gavrilova, M.L.: Computational geometry and image processing techniques in biometrics: on the path to convergence in Image Pattern Recognition. In: Synthesis and Analysis in Biometrics. World Scientific Publishers, Singapore (2007)

    Google Scholar 

  18. Gianvecchio, S., Xie, M., Wu, Z., Wang, H.: Measurement and classification of humans and bots in internet chat. In: 17th Conference on Security Symposium, San Jose, CA, pp. 155–169 (2008)

    Google Scholar 

  19. Gray, A., Sallis, P., MacDonell, S.: Software Forensics: Extending Authorship Analysis Techniques to Computer Programs. In: Proc. 3rd Biannual Conf. Int. Assoc. of Forensic Linguists, IAFL 1997 (1997)

    Google Scholar 

  20. van Halteren, H.: Linguistic profiling for author recognition and verification. In: Proceedings of ACL 2004 (2004)

    Google Scholar 

  21. Holz, T., Dragone, M., O’Hare, G.M.P.: Where Robots and Virtual Agents Meet. A Survey of Social Interaction Research across Milgram’s Reality-Virtuality Continuum International Journal of Social Robotics 1(1) (January 2009)

    Google Scholar 

  22. Ito, J.: Fashion robot to hit Japan catwalk, PHYSorg, http://www.physorg.com/pdf156406932.pdf (retrieved June 2009)

  23. Jain, A., Li, S.Z.: Handbook on Face Recognition. Springer, New York (2004)

    Google Scholar 

  24. Joachim, D., Jorg, K., Edda, L., Paass, G.: Authorship Attribution with Support Vector Machines. Applied Intelligence, 109–123 (2003)

    Google Scholar 

  25. Juola, P., Sofko, J.: Proving and Improving Authorship Attribution. In: Proceedings of CaSTA 2004 the Face of Text (2004)

    Google Scholar 

  26. Kanda, T., Ishiguro, H., Ono, T., Imai, M., Mase, K.: Multi-robot cooperation for human-robot communication. In: 11th IEEE International Workshop on Robot and Human Interactive Communication, pp. 271–276 (2002)

    Google Scholar 

  27. Khurshid, J., Bing-rong, H.: Military robots - a glimpse from today and tomorrow. In: 8th Control, Automation, Robotics and Vision Conference (ICARCV), China, pp. 771–777 (2004)

    Google Scholar 

  28. Kjell, B.: Authorship attribution of text samples using neural networks and Bayesian classifiers. In: IEEE International Conference on Systems, Man, and Cybernetics. ’Humans, Information and Technology’, San Antonio, TX, USA, pp. 1660–1664 (1994)

    Google Scholar 

  29. Klimpak, B., Grgic, M., Delac, K.: Acquisition of a Face Database for Video Surveillance Research. In: 48th International Symposium Focused on Multimedia Signal Processing and Communications, Zadar, pp. 111–114 (2006)

    Google Scholar 

  30. Klingspor, V., Demiris, J., Kaiser, M.: Human-Robot-Communication and Machine Learning. Applied Artificial Intelligence 11, 719–746 (1997)

    Google Scholar 

  31. Kobayashi, H., Hara, F.: Study on face robot for active human interface-mechanisms of facerobot and expression of 6 basic facial expressions. In: 2nd IEEE International Workshop on Robot and Human Communication, Tokyo, Japan, November 3-5, pp. 276–281 (1993)

    Google Scholar 

  32. Koppel, M., Schler, J.: Authorship Verification as a One-Class Classification Problem. In: 21st International Conference on Machine Learning, Banff, Canada, pp. 489–495 (July 2004)

    Google Scholar 

  33. Koppel, M., Schler, J., Mughaz, D.: Text Categorization for Authorship Verification. In: Eighth International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, Florida (Januray 2004)

    Google Scholar 

  34. Lanitis, A., Taylor, C.J., Cootes, T.F.: An Automatic Face Identification System Using Flexible Appearance Models. Image and Vision Computing 13(5), 393–401 (1995)

    Article  Google Scholar 

  35. Lim, H.-O., Takanishi, A.: Waseda biped humanoid robots realizing human-like motion. In: 6th International Workshop on Advanced Motion Control, Nagoya, Japan, pp. 525–530 (2000)

    Google Scholar 

  36. Lyons, M., Plante, A., Jehan, S., Inoue, S., Akamatsu, S.: Avatar Creation using Automatic Face Recognition. In: ACM Multimedia 1998, Bristol, England, pp. 427–434 ( September 1998)

    Google Scholar 

  37. Lyu, M.R., King, I., Wong, T.T., Yau, E., Chan, P.W.: ARCADE: Augmented Reality Computing Arena for Digital Entertainment. In: IEEE Aerospace Conference, Big Sky, MT, March 5-12, pp. 1–9 (2005)

    Google Scholar 

  38. McKenna, S., Gong, S., Raja, Y.: Modelling Facial Colour and Identity with Gaussian Mixtures. Pattern Recognition 31, 1883–1892 (1998)

    Article  Google Scholar 

  39. Misra, D., Gaj, K.: Face Recognition CAPTCHAs. In: International Conference on Tele-communications, Internet and Web Applications and Services (AICT-ICIW 2006), February 19-25, p. 122 (2006)

    Google Scholar 

  40. Nood, D.d., Attema, J.: The Second Life of Virtual Reality, http://www.epn.net/interrealiteit/EPN-REPORT-The_Second_Life_of_VR.pdf (retrieved June 2009)

  41. Oh, J.-H., Hanson, D., Kim, W.-S., Han, I.Y., Han, Y., Park, I.-W.: International Conference on Intelligent Robots and Systems, Daejeon, pp. 1428–1433 (2006)

    Google Scholar 

  42. Osuna, E., Freund, R., Girosi, F.: Training Support Vector Machines: An Application to Face Detection. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 130–136 (1997)

    Google Scholar 

  43. Oursler, J.N., Price, M., Yampolskiy, R.V.: Parameterized Generation of Avatar Face Dataset. In: 4th International Conference on Computer Games: AI, Animation, Mobile, In-teractive Multimedia, Educational & Serious Games, Louisville, KY (2009)

    Google Scholar 

  44. Patel, P., Hexmoor, H.: Designing BOTs with BDI agents. In: International Symposium on Collaborative Technologies and Systems (CTS) Carbondale, USA, pp. 180–186 (2009)

    Google Scholar 

  45. Rajagopalan, A., Kumar, K., Karlekar, J., Manivasakan, R., Patil, M., Desai, U., Poonacha, P., Chaudhuri, S.: Finding Faces in Photographs. In: 6th IEEE Intern. Conference on Computer Vision, pp. 640–645 (1998)

    Google Scholar 

  46. Ross, A.: An Introduction to Multibiometrics. In: 15th European Signal Processing Conference (EUSIPCO), Poznan, Poland (September 2007)

    Google Scholar 

  47. Ross, A., Jain, A.: Information fusion in biometrics. Pattern Recognition Letters 24, 2115–2125 (2003)

    Article  Google Scholar 

  48. Rowley, H., Baluja, S., Kanade, T.: Neural Network-Based Face Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(1), 23–38 (1998)

    Article  Google Scholar 

  49. Li, S., Jain, A. (eds.): Handbook of Face Recognition-Face Databases. Springer, New York (2005)

    MATH  Google Scholar 

  50. Schneiderman, H., Kanade, T.: Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 45–51 (1998)

    Google Scholar 

  51. Spafford, E.H., Weeber, S.A.: Software Forensics: Can We Track Code to its Authors? In: 15th National Computer Security Conference, pp. 641–650 (October 1992)

    Google Scholar 

  52. Stamatatos, E., Fakotakis, N., Kokkinakis, G.: Automatic authorship attribution. In: Proc. nineth Conf. European Chap. Assoc. Computational Linguistics, Bergen, Norway, pp. 158–164 (June 1999)

    Google Scholar 

  53. Stamatatos, E., Fakotakis, N., Kokkinakis, G.: Computer-Based Authorship Attribution Without Lexical. Measures Computers and the Humanities 35(2), 193–214 (2001)

    Article  Google Scholar 

  54. Stolfo, S.J., Hershkop, S., Wang, K., Nimeskern, O., Hu, C.-W.: A Behavior-based Approach to Securing Email Systems. Mathematical Methods, Models and Architectures for Computer Networks Security 2776, 57–81 (2003)

    Google Scholar 

  55. Suler, J.: The Psychology of Cyberspace, On-line book (2009), http://psycyber.blogspot.com

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

    Article  MATH  Google Scholar 

  57. Tang, H., Fu, Y., Tu, J., Hasegawa-Johnson, M., Huang, T.S.: Humanoid Audio–Visual Avatar With Emotive Text-to-Speech Synthesis. IEEE Transactions on Multimedia 10, 969–981 (2008)

    Article  Google Scholar 

  58. Teijido, D.: Information assurance in a virtual world. In: Australasian Telecommunications Networks and Applications Conference (ATNAC 2009), Canberra, Australia, November 10-12 (2009)

    Google Scholar 

  59. Thompson, B.G.: The State of Homeland Security, House.gov (2006), http://hsc-democrats.house.gov/SiteDocuments/ 20060814122421-06109.pdf (retrieved June 10, 2009)

    Google Scholar 

  60. Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3(1), 71–86 (1991)

    Article  Google Scholar 

  61. Vel, O.D., Anderson, A., Corney, M., Mohay, G.: Mining Email Content for Author Identification Forensics. ACM SIGMOD Record: Special Section on Data Mining for Intrusion Detection and Threat Analysis 30(4), 55–64 (2001)

    Article  Google Scholar 

  62. Yampolskiy, R.V.: Behavioral Biometrics for Verification and Recognition of AI Programs. In: 20th Annual Computer Science and Engineering Graduate Conference (GradConf.), Buffalo, NY (2007)

    Google Scholar 

  63. Yampolskiy, R.V.: Mimicry Attack on Strategy-Based Behavioral Biometric. In: 5th International Conference on Information Technology: New Generations (ITNG 2008), Las Vegas, Nevada, April 7-9, pp. 916–921 (2008)

    Google Scholar 

  64. Yampolskiy, R.V., Govindaraju, V.: Behavioral Biometrics for Recognition and Verification of Game Bots. In: The 8th Annual European Game-On Conference on Simulation and AI in Computer Games (GAMEON 2007), Bologna, Italy, November 20-22 (2007)

    Google Scholar 

  65. Yampolskiy, R.V., Govindaraju, V.: Behavioral Biometrics for Verification and Recognition of Malicious Software Agents. In: SPIE Defense and Security Symposium, Orlando, March 16-20 (2008)

    Google Scholar 

  66. Yampolskiy, R.V., Govindaraju, V.: Embedded Non-Interactive Continuous Bot Detection. ACM Computers in Entertainment 5(4), 1–11 (2007)

    Article  Google Scholar 

  67. Yang, G., Huang, T.S.: Human Face Detection in Complex Background. Pattern Recognition 27(1), 53–63 (1994)

    Article  Google Scholar 

  68. Yang, M.-H., Kriegman, D.J., Ahuja, N.: Detecting Faces in Images: A Survey. IEEE Transactions On Pattern Analysis and Machine Intelligence 24(1) (2002)

    Google Scholar 

  69. Yanushkevich, S., Gavrilova, M., Wang, P., Srihari, S.: Image Pattern Recognition: Synthesis and Analysis in Biometrics. World Scientific Publishers, Singapore (2007)

    Book  Google Scholar 

  70. Yanushkevich, S., Stoica, A., Shmerko, V., Popel, D.: Inverse Problem of Biometric. CRC Press/Taylor&Francis (2005)

    Google Scholar 

  71. Yow, K.C., Cipolla, R.: Feature-Based Human Face Detection. Image and Vision Computing 15(9), 713–735 (1997)

    Article  Google Scholar 

  72. Yuan, L., Gavrilova, M., Wang, P.: Facial metamorphosis using geometrical methods for biometric applications. IJPRAI 22(3), 555–584 (2008)

    Google Scholar 

  73. Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: A literature survey. ACM Computing Surveys 35(4), 399–458 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Computer Science, University of Calgary, Canada

    Marina L. Gavrilova

  2. Dept. of Computer Engineering and Computer Science, University of Louisville, USA

    Roman Yampolskiy

Authors
  1. Marina L. Gavrilova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Roman Yampolskiy
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  2. Exascala Ltd., Unit 9, 97 Rickman Drive, B15 2AL, Birmingham, UK

    C. J. Kenneth Tan

  3. School of Computer Engineering, Division of Computer Science, Nanyang Technological University, Singapore

    Alexei Sourin

  4. Nanyang Technological University, Nanyang Ave., Singapore

    Olga Sourina

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Gavrilova, M.L., Yampolskiy, R. (2011). Applying Biometric Principles to Avatar Recognition. In: Gavrilova, M.L., Tan, C.J.K., Sourin, A., Sourina, O. (eds) Transactions on Computational Science XII. Lecture Notes in Computer Science, vol 6670. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22336-5_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22336-5_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22335-8

  • Online ISBN: 978-3-642-22336-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation