A rough fuzzy neural network approach for robust face detection and tracking - Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition - page 254

[8] Kim HS, Kang WS, Shin JI, Park SH. Face detection using template matching and el-
lipse iting. IEICE Trans Inf Syst. 2000;11:2008-2011.
[9] Hassanien AE. Fuzzy-rough hybrid scheme for breast cancer detection. Image Comput
Vis J. 2007;25(2):172-183.
[10] Mitra S, Banka H, Pedrycz W. Rough-fuzzy collaborative clustering systems. IEEE
Trans Man Cybern B. 2006;36(4):795-805.
[11] Petrosino A, Salvi G. Rough fuzzy set based scale space transforms and their use in
image analysis. Int J Approx Reasoning. 2006;41:212-228.
[12] Sarkar M. Rough-fuzzy functions in classification. Fuzzy Sets Syst. 2002;132(3):353-369.
[13] Marr D, Ullman S, Poggio T. Bandpass channels, zero-crossing, and early visual in-
formation processing. J Opt Soc Am. 1979;69:914-916.
[14] Bangham JA, Ling PD, Harvey R. Scale-space from nonlinear filters. IEEE Trans Patern
Anal Mach Intell. 1996;18:520-528.
[15] Cantoni V, Cinque L, Guerra C, Levialdi S, Lombardi L. 2-D object recognition by
multiscale tree matching. Patern Recogn. 1998;31(10):1443-1454.
[16] Dyer CR. Multiscale image understanding. In: Uhr L, ed. Parallel computer vision. New
York: Academic Press; 1987:171-213.
[17] Rosenfeld A, ed. Multiresolution image processing and analysis. Berlin: Springer; 1984.
[18] Ueda N, Suzuki S. Learning visual models from shape contours using multi-scale
convex/concave structure matching. IEEE Trans Patern Anal Mach Intell.

1993;15(4):337-352.
[19] Pawlak Z. Rough sets. Int J Comput Inform Sci. 1982;11(5):341-356.
[20] Zadeh LA. Fuzzy sets. Inform Control. 1965;8:338-353.
[21] Caianiello ER. A calculus of hierarchical systems. In: Proceedings of the international
conference on patern recognition, Washington, DC; 1973:1-5.
[22] Catlin DE. Estimation, control, and the discrete Kalman filter. New York: Springer-Verlag;
1989.
[23] Sim T, Baker S. The CMU pose illumination and expression database. IEEE Trans Pat-
tern Anal Mach Intell. 2003;25(12):1615-1617.
[24] Phillips PJ, Wechsler H, Huang J, Rauss P. The FERET database and evaluation pro-
cedure for face recognition algorithms. Image Vis Comput J. 1998;16(5):295-306.
[25] Phillips PJ, Moon H, Rizvi SA, Rauss PJ. The FERET evaluation methodology for face
recognition algorithms. IEEE Trans Patern Anal Mach Intell. 2000;22(10):1090-1104.
[26] Stegmann MB, Ersbøll BK, Larsen R. FAME-a flexible appearance modeling environ-
ment. IEEE Trans Med Imag. 2003;22(10):1319-1331.
[27] Markus W. Face database collection of Markus Weber. [Online] 02 February 2006.
Available: htp://www.vision.caltech.edu/Image_Datasets/faces/ .
[28] Gorodnichy DO. Associative neural networks as means for low resolution video-based recog-
nition. In: International joint conference on neural networks (IJCNN); 2005.
[29] Dubois D, Prade H. Rough fuzzy sets and fuzzy rough sets. In: International conference
on fuzzy sets in informatics, Moscow, September 20-23; 1993.
[30] Caianiello ER, Ventre A. A model for C-calculus. Int J General Syst. 1985;11:153-161.
[31] Caianiello ER, Petrosino A. Neural networks, fuzziness and image processing. In:
Cantoni V, ed. Machine and human perception: analogies and divergencies. New York: Plen-
um Press; 1994:355-370.
[32] Ceccarelli M, Petrosino A. The orientation matching approach to circular object detection.
In: Proceedings of the IEEE international conference on image processing;
2001:712-715.