Speedup of face detection in digital images

Image analysis – Color image processing – Pattern recognition or classification using color

Reexamination Certificate

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C382S118000

Reexamination Certificate

active

10610245

ABSTRACT:
Improved methods and apparatuses are provided for use in face detection. The methods and apparatuses significantly reduce the number of candidate windows within a digital image that need to be processed using more complex and/or time consuming face detection algorithms. The improved methods and apparatuses include a skin color filter and an adaptive non-face skipping scheme.

REFERENCES:
patent: 6148092 (2000-11-01), Qian
patent: 6574354 (2003-06-01), Abdel-Mottaleb et al.
patent: 7110575 (2006-09-01), Chen et al.
Garcia, et al “Face Detection Using Quantize Skin Color Regions Merging and Wavelet Packet Analysis” IEEE, pp. 264-277, 1999.
Viola, et al “Rapid Object Detection Using a Boosted Cascade of Simple Features”, computer vision and pattern recognition, pp. 1-9, 2001.
Gabbur “Detection and Segmentation of Human Faces in Color Images With Complex Backgrounds”, ECE#532-Computer vision project report, pp. 1-32, 2001.
Vapnik; “Statistical Learning Theory”; 1998; A Volume in the Wiley Series on Adaptive and Learning Systems for Signal Processing, Communications, andControl; Simon Haykin, Series Editor.
Fleuret et al; “Course-to-Fine Face Detection”; International Journal of Computer Vision 2001, 23 pages.
Freund et al.; “A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting*”; Journal of Computer and System Sciences 55, 1997, Article No. SS971504; pp. 119-139.
Li et al.; “Statistical Learning of Multi-view Face Detection”; 15 pages. Microsoft Research Asia.
Pentland et al.; “View-Based and Modular Eigenspaces for Face Recognition”; 1994 IEEE; pp. 84-91.
Bichsel et al.; “Human Face Recognition and the Face Image Set's Topology”; Image Understanding vol. 59, No. 2, Mar. pp. 254-261, 1994.
Osuna et al.; “Training Support Vector Machines: an Application to Face Detection”; 1997 IEEE; pp. 130-136.
Hsu et al.; “Face Detection in Color Images”; 2002 IEEE; pp. 696-706.
Sung et al; “Example-Based Learning for View-Based Human Face Detection”; IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, No. 1, Jan. 1998; pp. 39-50.
Ng et al.; “Multi-View Face Detection and Pose Estimation Using A Composite Support Vector Machine accross the View Sphere”; 1999 IEEE; pp. 14-21.
Rowley et al.; “Neural Network-Based Face Detection”; IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, No. 1, Jan. 1998.
Papageorgiou et al.; “A General Framework for Object Detection”; 1998 The Institute of Electrical and Electronics Engineers, Inc.; pp. 555-563.
“The Boosting Approach to Machine Learning An Overview”, Robert E. Schapire, Dec. 19, 2001, MSRI Workshop on Nonlinear Estimation and Classification, 2002, pp. 1-23.
“Robust Real-time Object Detection”, Viola et al., Jul. 13, 2001, Second International Workshop on Statistical and Computational Theories of Vision-Modeling, Learning, Computing, and Sampling, pp. 1-25.
“Feature Selection for Face Detection”, Serre et al., Sep. 2000, Massachusetts Institute of Technology, 2000, A.I. Memo No. 1697, C.B.C.L Paper No. 192, 17 pages.
“A SNoW-Based Face Detector”, Roth et al., Department of Computer Science and the Beckman Institute, University of Illinois at Urbana-Champaign, 7 pages.
“A Statistical Method for 3D Object Detection Applied to Faces and Cars”, Schneiderman et al., Robotics Institute, Carnegie Mellon University, 6 pages.

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