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Face Recognition

Chris Coyer, Justin Gildea , and Chris Parthemore. Face Recognition. Background Information. Software used to verify a person’s identity by recognizing intrinsic facial features 4 Still in Experimental Stages. What it’s used for. Combat passport fraud Support law enforcement

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Face Recognition

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  1. Chris Coyer, Justin Gildea, and Chris Parthemore Face Recognition

  2. Background Information • Software used to verify a person’s identity by recognizing intrinsic facial features 4 • Still in Experimental Stages 4.) Weissman, Kimberly “Face Recognition.” August 7, 2006. http://www.biometrics.gov/Documents/facerec.pdf (April 25, 2011)

  3. What it’s used for • Combat passport fraud • Support law enforcement • Identify missing children • Minimize identity fraud1 1.) AjmalMian, Mohammed Bennamoun, Robyn Owens, "An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 11, pp. 1927-1943, June 2007, (April 25, 2011)

  4. When it will be ready for use • Still in experimental stages • Already in use in some places2 • Airports • Bus terminals • Public places 2.) Ioannis A. Kakadiaris, GeorgiosPassalis, George Toderici, Mohammed N. Murtuza, Yunliang Lu, Nikos Karampatziakis, TheoharisTheoharis, "Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach,"

  5. Technologies it may replace • Criminal Fingerprinting • Card Identification/ passports

  6. Who uses it? • Government3 • Security • Identity • Law enforcement3 • Experimental stages • PC’s3 • Need facial recognition to access computer 3.) TimoAhonen, AbdenourHadid, MattiPietikinen, "Face Description with Local Binary Patterns: Application to Face Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 2037-2041, Dec. 2006 (April 25, 2011)

  7. Threat to industries • Identity theft companies • More difficult to steal others identities • Surveillance • At risk of being put out of business

  8. Evaluation • It will be successful • Already in use with government, law enforcement, airports • Unprecedented technology

  9. References • AjmalMian, Mohammed Bennamoun, Robyn Owens, "An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 11, pp. 1927-1943, June 2007, (April 25, 2011) • Ioannis A. Kakadiaris, GeorgiosPassalis, George Toderici, Mohammed N. Murtuza, Yunliang Lu, Nikos Karampatziakis, TheoharisTheoharis, "Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 4, pp. 640-649, Apr. 2007, (April 25, 2011) • TimoAhonen, AbdenourHadid, MattiPietikinen, "Face Description with Local Binary Patterns: Application to Face Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 2037-2041, Dec. 2006 (April 25, 2011) • Weissman, Kimberly “Face Recognition.” August 7, 2006. http://www.biometrics.gov/Documents/facerec.pdf (April 25, 2011)

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