Method and system for real-time facial image enhancement

Details Method and system for real-time facial image enhancement Method and system for real-time facial image enhancement

2007-06-05

2007-06-05

Mancuso, Joseph (Department: 2624)

Image analysis

Applications

Target tracking or detecting

C345S419000, C382S117000, C382S118000, C351S211000

Reexamination Certificate

active

10609245

ABSTRACT:
The present invention is a system and method for detecting facial features of humans in a continuous video and superimposing virtual objects onto the features automatically and dynamically in real-time. The suggested system is named Facial Enhancement Technology (FET). The FET system consists of three major modules, initialization module, facial feature detection module, and superimposition module. Each module requires demanding processing time and resources by nature, but the FET system integrates these modules in such a way that real time processing is possible. The users can interact with the system and select the objects on the screen. The superimposed image moves along with the user's random motion dynamically. The FET system enables the user to experience something that was not possible before by augmenting the person's facial images. The hardware of the FET system comprises the continuous image-capturing device, image processing and controlling system, and output display system.

REFERENCES:
patent: 4852184 (1989-07-01), Tamura et al.
patent: 5802220 (1998-09-01), Black et al.
patent: 5852669 (1998-12-01), Eleftheriadis et al.
patent: 6381345 (2002-04-01), Swain
patent: 6400374 (2002-06-01), Lanier
patent: 6508553 (2003-01-01), Gao et al.
patent: 6634754 (2003-10-01), Fukuma et al.
patent: 6944327 (2005-09-01), Soatto
patent: 7184602 (2007-02-01), Cohen et al.
L. Rui et al., Proc. 14th IEEE Intl. Conf. Automatic Face and Gesture Recognition, pp. 239-244, 2000.
A. Schubert, Proc. 14th IEEE Intl Conf. Automatic Face and Gesture Recognition, pp. 116-121,2000.
R. Sharma et al., Proc. IEEE special issue on Multimedia Signal Processing, 86(5):853-869, May 1998.
F. Smeraldi et al., Proc. International Conf. on Image Processing, pp. 163-167, 1998.
Q.B. Sun et al., Proc. 3rd IEEE Intl. Conf. on Automatic Face and Gesture Recognition,pp. 130-135, 1998.
M.H. Yang et al., A survey on face detection methods. IEEE Trans. on PAMI, 2001.
L. Zhang et al.,Proc. Conf. Knowledge-Based Intel. Eng. Systems and Allied Tech.,vol. 1,pp. 117-120,2000.
X. Zhang et al., Proc. 4th International Conference on Signal Processing, vol. 2, pp. 889-892, 1998.
D. Beymer, Proceedings IEEE Computer Society Conference on CVPR, pp. 921-928, 1996.
V. Chandrasekaran, IEEE Conf. Computational Cybernectics and Simulation, vol. 3,pp. 2022-2027, 1997.
A.J. Colmenarez, et al., Proc. International Conference on Image Processing, vol. 1, pp. 657-661, 1999.
A.J. Colmenarez, et al., Proc. International Conf. on Pattern Recognition, vol. 1, pp. 222-224, 1998.
H. Demirel et al.,Proc. Intl. Information,Communications and Signal Processing, pp. 984-988, 1997.
L. Fan et al., ACM Multimedia 2000, pp. 295-302, 2000.
D.O. Gorodnichy et al.,Lecture Notes Comp. Sci.,vol. 1311(ICIAP'97 Proc.vol. II),pp. 332-339, Springer, 1997.
C.L. Huang et al, Pattern Recognition, 25(12), pp. 1435-1444, 1992.
W. Huang et al., Proc.14th International Conf. on Pattern Recognition, vol. 1, pp. 110-113, 1998.
K.M. Lam et al., Proc. 14th International Conf. on Signal Processing, vol. 2, pp. 1100-1103, 1998.
H.W. Lee et al., Proc. IEEE Intl. Symposium on Industrial Electronics, vol. 1, pp. 254-259, 2001.
S. Lee et al., Proc.International Conference on Virtual Systems and MultiMedia, 2001.
C.H. Lin et al., IEEE transactions on image processing, vol. 8, No. 6, pp. 834-845, Jun. 1999.
M. Lyons et al., Proceedings of ACM Multimedia 98, pp. 427-434, 1998.
B. Moghaddam et al., Proc. International Conf. on Image Processing, vol. 3, pp. 512-515, 1995.
H. Moon et al., Proc. International Conf. on Image Processing, vol. 3, pp. 885-888, 2000.
T. Nguyen et al., Proc. International Symposium on Computer Vision, pp. 593-598, 1995.
R. Pinto-Elias et al., Proc. 14th International Conf. on Pattern Recognition, vol. 12, pp. 1360-1364, 1998.
D. Reisfeld et al., 11th International Conf. on Pattern Recognition, vol. 1, pp. 117-120, 1992.
M. Rizon et al.,Proc.Intl.Conf.Intel.Systems and Tech. for the Next Millennium,vol. 2, pp. 415-420,2000.

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