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      • A Crucial Investigation of Facial Skin Colour Research Trend and Direction

        Mohammed Hazim Alkawaz,Dzulkifli Mohamad,Ahmad Hoirul Basori,Farhan Mohamed 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1

        The research on facial animation is growing and became more sensible in terms of three dimensional data. The emergence of laser scans and advanced 3D tools imparted further towards the rapid development of complex facial model. This paper has given an overview on facial animation techniques such as blend shape interpolation, facial action coding system and parameterization. The major challenges, excitement, applications, recent progress and the future of various diversified facial animation methods are high-lighted as well. The emotional theory, involving the cognition as one of the elements of emotion and emphasizing on somatic factors describing emotional expressions and its perception as the other elements are presented. The essential factors responsible for emo-tional colors manifestations to an individual are the key issues. The notable theories and models of Goethe, Claudia Cortes, Naz Kaya, Color Wheel Pro, Shirley Willet and Yau Xueon facial colors expressions are critically commented and a facile comparison is car-ried out. Furthermore, a detailed discussions on facial colors appearance are provided using image based skin color analysis and synthesis, reflectance based model, bidirec-tional texture function, physiology measurement based and emotional appearance mod-els. The paper completed with the remarkable features official expression comprised of facial action coding system and MPEG-4 facial animation that enable considerable im-provement on facial animation technology. Our in-depth appraisal on facial animation may contribute as taxonomy towards the development of human facial skin colors on 3D avatar including facial action coding system, emotion theory, color theory, animation via blending and image based color analysis useful for various applications.

      • 2D Image Recognition of Partially Occluded Objects Based on Adaptive Window Positioning and Dynamic Time Warping

        Mohammed Almuashi,Siti Z. Mohd Hashim,Dzulkifli Mohamad,Mohammed Hazim Alkawaz 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.7

        The boundaries of computer vision are especially challenged by partial occluded ob-ject recognition. In this paper, we proposed a new algorithm that used to recognize the partially occluded objects in 2-D images. Two different cases of occlusion are considered. Firstly, when an object missing some parts. Secondly, objects are overlapping each other. This approach uses contour of an object. Adaptive Window Positioning (AWP) uses to extract features from a contour. The proposed method uses the orientation field as fea-tures of the fragment. Dynamic Time Warping (DTW) works for matching and find the similarity between sub-images. As experiment result, the proposed recognition algorithm works without prior segmentation and robust to identify missing and overlapping objects and it can woks with strength occlusion.

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