On a feature extraction by LMCUH algorithm for a ubiquitous computing

Authors:
Jin Ok Kim;Jun Yeong Jang;Chin Hyun Chung
Affiliations:
Faculty of Multimedia, Daegu Haany University, Gyeongsangbuk-do, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea
Venue:
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Year:
2006

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Abstract

This paper proposes an algorithm to detect human faces under various environments. In the first step, information on three color spaces of various features is used to determine histogram of color in the first frame of an image. The histogram obtained by interpolation after combining three color of the image is used as an input of LMCUH network. In the second step, the neural network of Levenberg – Marquadt training algorithm minimizes the error. Next, we find the face in test image by using the trained sets. This method is especially suited for various scales, rotations, lighting levels, or occlusions of the target image. Experimental results show that two – dimensional images of a face can be effectively implemented by using artificial neural network training under various environments. Thus, we can detect the face effectively and this can inevitably lead to the Ubiquitous Computing Environment.