.png){kind=icon}
返回
Face identification using reference-based features with message passing model
.png){kind=icon}
OA
AI
DOI：10.1016/j.neucom.2012.06.032.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we propose a system for face identification. Given two query face images, our task is to tell whether or not they are of the same person. The main contribution of this paper comes from two aspects: (1) We adopt the one-shot similarity kernel [35] for learning the similarity of two face images. The learned similarity measures are then used to map a face image to reference images. (2) We propose a graph-based method for selecting an optimal set of reference images. Instead of directly working on the image features, we use the learned similarity to the reference images as the new features and compute the corresponding matching score of the two query images. Our approach is effective and easy to implement. We show encouraging and favorable results on the Labeled Faces in the Wild - a challenging data set of faces. (c) 2012 Elsevier B.V. All rights reserved.
Keyword:
Face identification
Message passing model
One-shot similarity
Similarity space
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
引用论文
Twinning in Hexagonal Close-Packed Materials: The Role of Phase Transformation六方密堆积材料中的孪晶: 相变的作用.png)
Metals
OAAI
MetalsIF0
OAAI分享收藏
查看更多内容