A data mining approach to face detection

Pattern Recognition

Volumn 43, Issue 3, 2010, Pages 1039-1049

  Tsao, Wen Kwang ^a   Lee, Anthony J T ^a   Liu, Ying Ho ^a   Chang, Ting Wei ^a   Lin, Hsiu Hui ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Data mining; Face detection; Feature pattern; Maximal frequent pattern; Support vector machine

Indexed keywords

DATA SETS; DETECTION PHASE; DETECTION RATES; DIFFERENT SCALE; EDGE IMAGE; FACE DETECTION; FACE DETECTION METHODS; FACE DETECTOR; FACIAL EXPRESSIONS; FACIAL FEATURE; FALSE POSITIVE; FEATURE PATTERN; HUMAN FACES; MAXIMAL FREQUENT PATTERN; MORPHOLOGICAL OPERATOR; POSITIVE FEATURES; SLIDING WINDOW; THRESHOLDING; TRAINING IMAGE; TRAINING PHASE; TWO PHASIS;

DATA MINING; DETECTORS; EDGE DETECTION; IMAGE RETRIEVAL; MATHEMATICAL OPERATORS; MINING; PERSONNEL TRAINING; SUPPORT VECTOR MACHINES; WINDOWS;

FACE RECOGNITION;

EID: 70449704066     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.09.005     Document Type: Article

References (35)

1. Yang M.H., Kriegman D., and Ahuja N. Detecting faces in images: a survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 1 (2002) 34-58
2. Chiang C.C., and Huang C.J. A robust method for detecting arbitrarily tilted human faces in color images. Pattern Recognition Letters 26 16 (2005) 2518-2536
3. Chiang C.C., Tai W.K., Yang M.T., Huang Y.T., and Huang C.J. A novel method for detecting lips, eyes and faces in real time. Real-Time Imaging 9 4 (2003) 277-287
4. Hsu R.L., Abdel-Mottaleb M., and Jain A.K. Face detection in color images. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 5 (2002) 696-706
5. Bhuiyan M.A., Ampornaramveth V., Muto S.Y., and Ueno H. Face detection and facial feature localization for human-machine interface. NII Journal 5 (2003) 25-39
6. T. Lee, S.K. Park, M. Park, A new facial features and face detection method for human-robot interaction, in: Proceedings of IEEE International Conference on Robotics and Automation, 2005, pp. 2063-2068.
7. Wu J., and Zhou Z.H. Efficient face candidate selector for face detection. Pattern Recognition 36 11 (2004) 1175-1186
8. Samal A., and Iyengar P.A. Human face detection using silhouettes. International Journal of Pattern Recognition and Artificial Intelligence 9 6 (1995) 845-867
9. O. Jesorsky, K.J. Kirchberg, R.W. Frischholz, Robust face detection using the hausdorff distance, in: Proceedings of International Conference on Audio- and Video-based Biometric Person Authentication, 2001, pp. 90-95.
10. H. Schneiderman, T. Kanade, A statistical method for 3D object detection applied to faces and cars, in: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2000, pp. 746-751.
11. Rowley H.A., Baluja S., and Kanade T. Neural network-based face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20 1 (1998) 23-38
12. H.A. Rowley, S. Baluja, T. Kanade, Rotation invariant neural network-based face detection, in: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 1998, pp. 38-44.
13. Huang L.L., Shimizu A., Hagihara Y., and Kobatake H. Face detection from cluttered images using a polynomial neural network. Neurocomputing 51 (2003) 197-211
14. E. Osuna, R. Freund, F. Girosi, Training support vector machines: an application to face detection, in: Proceedings of Computer Vision and Pattern Recognition, 1997.
15. Shih P., and Liu C. Face detection using discriminating feature analysis and support vector machine. Pattern Recognition 39 11 (2006) 260-276
16. Heisele B. Hierarchical classification and feature reduction for fast face detection with support vector machines. Pattern Recognition 36 9 (2003) 2007-2017
17. Viola P., and Jones M. Rapid object detection using a boosted cascade of simple features. International Journal of Computer Vision 57 (2002) 137-154
18. Huang L.L., Shimizu A., Hagihara Y., and Kobatake H. Gradient feature extraction for classification-based face detection. Pattern Recognition 36 11 (2003) 2502-2511
19. L.L. Huang, A. Shimizu, H. Kobatake, A multi-expert approach for robust face detection, in: Proceedings of the 17th International Conference on Pattern Recognition, 2004, pp. 942-945.
20. Heisele B., Poggio T., and Pontil M. Face Detection in Still Gray Images, A.I. Memo 1687 (2000), Center for Biological and Computational Learning, MIT, Cambridge, MA
21. Y. Freund, R.E. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting, in: Proceedings of the Second European Conference on Computational Learning Theory, 1995, pp. 119-139.
22. D. Roth, M. Yang, N. Ahuja, A SNoW-based face detector, in: Advances in Neural Information Processing System 12 (NIPS12), MIT-Press, 2000, pp. 855-861.
23. M. Nilsson, J. Nordberg, I. Claesson, Face detection using local SMQT features and split up SNoW classifier, in: Proceedings of International Conference on Acoustics, Speech, and Signal Processing, 2007, pp. 589-592.
24. D. Cristinacce, T. Cootes, Feature detection and tracking with constrained local models, in: Proceedings of British Machine Vision Conference, 2006, pp. 929-938.
25. D. Burdick, M. Calimlim, J. Gehrke, MAFIA: a maximal frequent itemset algorithm for transactional databases, in: Proceedings of International Conference on Data Engineering, 2001, pp. 443-452.
26. Rowley H., Baluja S., and Kanade T. Human face detection in visual scenes. Advances in Neural Information Processing Systems 8 (1996) 875-881
27. The Himalaya data mining tools, Cornell Database Group, Cornell University, 〈http://himalaya-tools.sourceforge.net〉.
28. Bentley J.L., and Friedman J.H. Data structures for range searching. ACM Computing Surveys 11 4 (1979) 397-409
29. Xiao R., Li M.-J., and Zhang H.-J. Robust multipose face detection in images. IEEE Transactions on Circuits and System for Video Technology 14 1 (2004)
30. MIT-CMU Face Dataset, 〈http://vasc.ri.cmu.edu/idb/html/face/frontal_images〉.
31. BioID Face Dataset, 〈http://www.bioid.com/〉.
32. OpenCV, 〈http://sourceforge.net/projects/opencvlibrary〉.
33. LibSVM, 〈http://www.csie.ntu.edu.tw/∼cjlin/libsvm/〉.
34. 〈http://vasc.ri.cmu.edu/NNFaceDetector/〉.
35. 〈http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=13701&objectType=FILE〉.