Application of the self-organizing feature map algorithm in facial image morphing

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/32211

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32211

Title:	Application of the self-organizing feature map algorithm in facial image morphing
Authors:	Su,MC;Liu,IC
Contributors:	資訊工程研究所
Date:	2001
Issue Date:	2010-07-06 18:21:17 (UTC+8)
Publisher:	中央大學
Abstract:	A new facial image morphing algorithm based on the Kohonen self-organizing feature map (SOM) algorithm is proposed to generate a smooth 2D transformation that reflects anchor point correspondences. Using only a 2D face image and a small number of anchor p
Relation:	NEURAL PROCESSING LETTERS
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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