Eye Contour Based Face Hallucination Method

Kaori Kataoka, S. Ando, Akira Suzuki, H. Koike, M. Morimoto
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Abstract

〈Summary〉 Face hallucination produces high-resolution facial images from lowresolution inputs. In this paper, we propose a contour-based face hallucination method. Since our goal is face recognition rather than visual effects, the contour information of facial-parts (such as eyes) is important. We focus on the eye parts and reconstruct eye contours instead of dividing them into small blocks. We obtain the eye contours by using the Active Appearance Model (AAM), and transform training images based on contours. We confirm that the proposed method significantly enhances face recognition performance.
基于眼轮廓的面部幻觉方法
<摘要>面部幻觉从低分辨率输入产生高分辨率面部图像。本文提出了一种基于等高线的人脸幻觉方法。由于我们的目标是人脸识别而不是视觉效果,因此面部部位(如眼睛)的轮廓信息很重要。我们专注于眼睛部分,重建眼睛轮廓,而不是将它们分割成小块。我们利用活动外观模型(AAM)获得眼部轮廓,并根据轮廓对训练图像进行变换。结果表明,该方法显著提高了人脸识别性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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