FACE HALLUCINATION VIA SEMI-KERNEL PARTIAL LEAST SQUARES

被引：0

作者：

Zhang, Qiang ^{[1
]}

Zhou, Fei ^{[1
]}

Yang, Fan ^{[1
]}

Liao, Qingmin ^{[1
]}

机构：

[1] Tsinghua Univ, Grad Sch Shenzhen, Shenzhen Key Lab Informat Sci & Tech, Shenzhen Engn Lab IS & DRM,Dept Elect Engn, Shenzhen, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING | 2015年 / 121卷

关键词：

face super-resolution (SR); collaborative representation (CR); semi-kernel partial least squares (semi-KPLS); IMAGE-RECONSTRUCTION; SUPERRESOLUTION; RECOGNITION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a patch-based super-resolution (SR) method is proposed to hallucinate facial images. Two steps are involved in this method. In the first step, semi-kernel partial least squares (semi-KPLS) algorithm is used to generate a nonlinear correlative space. In the second step, we use collaborative representation (CR) to infer a high-resolution (HR) face. The experiments conducted on FERET database demonstrate the proposed algorithm can generate better results, in comparison with some state-of-the-art approaches.

引用

页码：1143 / 1149

页数：7

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