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IIJEC:Volume 5, Issue 2, February 2017


An Improved Active Shape Model Application on Facial Feature Localization
Author Name:
Mr. Niranjan Malya
ABSTRACT An improved active form model is projected during this paper. The projected algorithmic program includes the subsequent four aspects. Firstly, this paper adopts a semi-automatic facial feature points marking tool. Secondly, this paper proposes to extract 2nd gradient feature on the very best level and also the higher level of multi-resolution pyramid pictures, and use physicist ripple transformation to extract very cheap level’s 2nd texture feature. Thirdly, this paper adopts a brand new methodology of decomposition of multi-resolution pyramid. Pyramid pictures square measure got by ripple transformation. Finally, this paper uses associate improved looking out theme of multiresolution pyramid. The length of 2nd profile looking out parallelogram is modified per totally different pyramid levels. Experimental results demonstrate that the projected algorithmic program exhibits higher performance than the initial ASM.
Cite this article:
Mr. Niranjan Malya , " An Improved Active Shape Model Application on Facial Feature Localization" , IPASJ INTERNATIONAL JOURNAL OF ELECTRONICS & COMMUNICATION (IIJEC) , Volume 5, Issue 2, February 2017 , pp. 004-006 , ISSN 2321-5984.
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