Detection Method of Human Face, Facial Components and Rotation Angle Using Color Value and Partial Template


The KIPS Transactions:PartB , Vol. 10, No. 4, pp. 465-472, Aug. 2003
10.3745/KIPSTB.2003.10.4.465,   PDF Download:

Abstract

For an effective pre-treatment process of a face input image, it is necessary to detect each of face components, calculate the face area, and estimate the rotary angle of the face. A proposed method of this study can estimate an robust result under such conditions as some different levels of illumination, variable face sizes, face rotation angels, and background color similar to skin color of the face. The first step of the proposed method detects the estimated face area that can be calculated by both adapted skin color information of the band-wide HSV color coordinate converted from RGB coordinate, and skin color information using histogram. Using the results of the former processes, we can detect a lip area within an estimated face area. After estimating a rotary angle slope of the lip area along the X axis, the method determines the face shape based on face information. After detecting eyes in face area by matching a partial template which is made with both eyes, we can estimate Y axis rotary angle by calculating the eye´s locations in three dimensional space in the reference of the face area. As a result of the experiment on various face images, the effectuality of proposed algorithm was verified


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Cite this article
[IEEE Style]
L. M. Ae and P. G. Su, "Detection Method of Human Face, Facial Components and Rotation Angle Using Color Value and Partial Template," The KIPS Transactions:PartB , vol. 10, no. 4, pp. 465-472, 2003. DOI: 10.3745/KIPSTB.2003.10.4.465.

[ACM Style]
Lee Mi Ae and Park Gi Su. 2003. Detection Method of Human Face, Facial Components and Rotation Angle Using Color Value and Partial Template. The KIPS Transactions:PartB , 10, 4, (2003), 465-472. DOI: 10.3745/KIPSTB.2003.10.4.465.