Image analysis – Applications – Personnel identification
Reexamination Certificate
2005-06-03
2008-10-14
Bella, Matthew C. (Department: 2624)
Image analysis
Applications
Personnel identification
C382S154000
Reexamination Certificate
active
07436988
ABSTRACT:
There is provided a novel approach for automatic human face authentication. Taking a 3D triangular facial mesh as input, the approach first automatically extracts the bilateral symmetry plane of the face surface. The intersection between the symmetry plane and the facial surface, namely the Symmetry Profile, is then computed. By using both the mean curvature plot of the facial surface and the curvature plot of the symmetry profile curve, three essential points of the nose on the symmetry profile are automatically extracted. The three essential points uniquely determine a Face Intrinsic Coordinate System (FICS). Different faces are aligned based on the FICS. The Symmetry Profile, together with two transversal profiles, namely the Forehead Profile and the Cheek Profile compose a compact representation, called the SFC representation, of a 3D face surface. The face authentication and recognition steps are finally performed by comparing the SFC representation of the faces.
REFERENCES:
patent: 5680481 (1997-10-01), Prasad et al.
patent: 5867588 (1999-02-01), Marquardt
patent: 6002782 (1999-12-01), Dionysian
patent: 6381346 (2002-04-01), Eraslan
patent: 2002/0106114 (2002-08-01), Yan et al.
patent: 2005/0044056 (2005-02-01), Ray et al.
Wu, Y.; Pan, G.; Wu, Z., Face Authentication Based on Multiple Profiles Extracted from Range Data, Jun. 9-11, 2003, Springer Berlin/ Heidelberg, vol. 2688/2003, pp. 515-522.
Chen, W.; Okamoto, N.; Minami, T., Automatic Personal Identification based on Human Face Profiles, Electrical and Computer Engineering, 1998, IEEE Candadian Conference on, May 24-28, 1998, vol. 1, pp. 53-56.
Yu, K.; Jiang, X.Y.; Bunke, H., Robust Facial Profile Recognition, Image Processing, 1996, Proceedings., International Conference on, Sep. 16-19, 1996, vol. 3, pp. 491-494.
Beumier, C. and Acheroy, M., Automatic face authentication from 3D surface. British Machine Vision Conference, Sep. 14-17, 1998, pp. 449-458, University of Southampton, UK. (beumier98automatic.pdf).
Blanz, V. and Vetter, T., A Morphable Model for the Synthesis of 3D Faces. Computer Graphics Proc., 1999, pp. 187-194, Siggraph '99, Los Angeles, CA, USA. (Blanz—morphable—model—99).
Bronstein, A., Bronstein, M., and Kimmel, R., Expression-invariant 3D face recognition, Proc. Audio & Video-based Biometric Person Authentication (AVBPA), 2003, pp. 62-69, Lecture Notes in Comp. Science 2688, Springer-Verlag Berlin Heidelberg. (Bronstein—expressInvariance—faces2003.pdf).
Chang, K., Bowyer, K. and Flynn, P., Multi-Modal 2D and 3D Biometrics for Face Recognition. The proceedings of the IEEE international Workshop on Analysis and Modeling of Faces and Gestures (AMFG), Oct. 2003, Nice, France, IEEE. (KChang—amfg03.pdf).
Chua, C., Han, F. and Ho, Y., 3D human face recognition using point signature. 4th ICAFGR, Mar. 26-30, 2000, Gernoble, France (point—signature—chua—00.pdf).
Duc, B. Fischer, S. and Bigun, J., Face Authentication with Gabor Information on Deformable Graphs, IEEE Transactions on Image Processing, Apr. 1999. pp. 504-516, vol. 8, No. 4, IEEE. (face-authentication-with-gabor—99.pdf).
Gordon, G., Face recognition based on depth and curvature feature, Proceeding of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992, pp. 808-810, IEEE. (gordon—cvpr92.pdf).
Lao, S., Sumi, Y., Kawade, M. and Tomita, F., 3D template matching for pose invariant face recognition using 3D facial model built with isoluminance line based stereo vision, International Conference on Pattern Recognition (ICPR), 2000, pp. II:911-916., IEEE. (Lao—3D—poselnvariance—faceRecog—2000.pdf).
Lee, Y., Park, K., Shim, J. and Yi, T., 3D Face Recognition Using Statistical Multiple Features for the Local Depth Information, 16th International Conference on Vision Interface, Jun. 2003: (slat—multi—feature—3dFaceRecog—2003.pdf).
Lu, X., Colbry, D. and Jain, A., Matching 2.5D scans for face recognition, International Conference on Pattern Recognition (ICPR), 2004, pp. 362-366. (2—5—face.pdf).
Medioni, G. and Waupotitsch, R., Face recognition and modeling in 3-D, Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG), Oct. 2003, pp. 232-233, IEEE. (Face Modeling and Recognition in 3-D—2003.pdf).
Chen, X., Flynn, P. and Bowyer, K., Visable-light and Infrared Face Recognition, The proceedings of Workshop on Multimodal User Authentication, Dec. 2003, pp. 48-55, Santa Barbara, CA, USA (ChenMMUA—2003.pdf).
Pan, G., Wu, Y., Wu, Z. and Liu, W., 3D Face Recognition by Profile and Surface Matching, Proceedings of the International Joint Conference on Neural Networks, 2003, IEEE. (face—profile—surface.pdf).
Tanaka, H. and Ikeda, M. and Chiaki, H., Curvature-based surface recognition using spherical correlation principal directions for curved object recognition, Third IEEE International Conference on Automatic Face and Gesture Recognition, 1998, pp. 372-377, IEEE. (curvatureBased—face—recognition—98—Tanaka.pdf).
Wang, Y., Chua, C. and Ho, Y., Facial feature detection and face recognition from 2D and 3D images. Pattern Recognition Letters, 2002, pp. 1191-1202, vol. 23, Elsevier Science B.V. (Chua—facialFeatureDetection—faceRecog—2D3D—02—wang.pdf).
Xu, C., Wang, Y., Tan, T. and Quan, L., Automatic 3D Face Recognition Combining Global Geometric Features with Local Shape Variation Information, Proceedings of the Sixth IEEE International Conference on Automated Face and Gesture Recognition, May 2004, pp. 308-313, IEEE. (wang—2—3dFace—featureDetection—2004.pdf).
Farin Gerald
Razdan Anshuman
Zhang Liyan
Arizona Board of Regents
Bella Matthew C.
Mackowey Anthony
Scully , Scott, Murphy & Presser, P.C.
LandOfFree
3D face authentication and recognition based on bilateral... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with 3D face authentication and recognition based on bilateral..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and 3D face authentication and recognition based on bilateral... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3996227