Cover page and Table of Contents: PDF (size: 781KB)
Full Text (PDF, 781KB), PP.15-25
Views: 0 Downloads: 0
Face Detection, Artificial Neural Networks, Levenberg–Marquardt Training Algorithm, Color Space, Image Format
A human eye can detect a face in an image whether it is in a digital image or also in some video. The same thing is highly challenging for a machine. There are lots of algorithms available to detect human face. In this paper, a technique has been made to detect and locate the position of human faces in digital images. This approach has two steps. First, training the artificial neural network using Levenberg–Marquardt training algorithm and then the proposed algorithm has been used to detect and locate the position of the human faces from digital image. The proposed algorithm has been implemented for six color spaces which are RGB, YES, YUV, YCbCr, YIQ and CMY for each of the image formats bmp, jpeg, gif, tiff and png. For each color space training has been made for the image formats bmp, jpeg, gif, tiff and png. Finally, one color space and particular image format has been selected for face detection and location in digital image based on the performance and accuracy.
Satyendra Nath Mandal,Kumarjit Banerjee,"Performance Analysis for Detection and Location of Human Faces in Digital Image With Different Color Spaces for Different Image Formats", IJIGSP, vol.4, no.7, pp.15-25, 2012. DOI: 10.5815/ijigsp.2012.07.02
K.C. Yow and R. Cipolla. Feature-based human face detection. Image and Vision Computing, 15 (1997), pp. 713-735.
T.F. Cootes and C.J. Taylor. Locating faces using statistical feature detectors. Proceeding of the Second International Conference on Automatic Face and Gesture Recognition, 1996, pp. 640-645.
T.K. Leung, M.C. Burl, and P. Perona. Finding faces in cluttered scenes using random labeled graph matching. Proceedings of the Fifth International Conference on Computer Vision, 1995, pp. 637-644.
H.A. Rowley, S. Bluja, and T. Kanade. Neural network-based face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20 (1) (1998), pp. 23-38.
K.K. Sung and T. Poggio. Example-based learning for view-based human face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20 (1) (1998), pp. 39-51.
A.J. Colmenarez and T.S. Huang. Face detection with information-based maximum discrimination. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997, pp. 278-287.
M. De Mariscoi, L. Cinque, and S. Levialdi. Indexing pictorial documents by their content: a survey of current techniques. Image and Vision Computing, 15 (1997), pp. 119-141.
B. Schiele and A. Waibel. Gaze tracking based on face-color. Presented in International Workshop on Face and Gesture Recogntion, Zurich, July 1995.
Y. Dai and Y. Nakano. Face-texture model based on SGLD and its applications in face detection in a color scene. Pattern Recognition, 29 (6) (1996), pp. 1007-1017.
Q. Chen, H. Wu, and M. Yachida. Face detection by fuzzy pattern matching. Proceedings of the Fifth International Conference on Computer Vision, 1995, pp. 591-596.
J. Cai and A. Goshtasby. Detecting human faces in color images. Image and Vision Computing, 18 (1999), pp. 63-75.
Y. Miyake, H. Saitoh, H. Yaguchi, and N. Tsukada. Facial pattern detection and color correction from television picture and newspaper printing. Journal of Imaging Technology, 16 (5) (1990), pp. 165-169.
D. Androutsos, K.N. Plataniotois, and A.N. Venetsanopoulos. A novel vector-based approach to color image retrieval using a vector angular-based distance measure. Computer Vision and Image Understanding, 75 (1/2) (July/August 1999), pp. 46-58.
V. Rao and H. Rao. C++ Neural Networks & Fuzzy Logic. MIS Press: New York, 1995.
Todd Wittman ,” Face Detection and Neural Network”, www.ima.umn.edu, December 2001, Date of Access -10/04/09.
Todd Wittman ,” Face Detection in Crowded Image”, www.ima.umn.edu, December 2001, Date of Access -10/04/09.
S.N Mandal et al, A New Technique for Detection and Location of Human Faces in Digital Image. Proceedings of the 4th National Conference; INDIACom-2010 Computing For Nation Development.
S.N Mandal et al, Performance Analysis for Detection and Location of Human Faces in Digital Image with Differnet Color Spaces. 12th International Confernce on Inormation Technology,2009.