Face recognition based on local binary pattern and improved Pairwise-constrained Multiple Metric Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-08157-0.pdf
Reference21 articles.
1. Belhumeur PN, Hespanha JP, Kriengman DJ (1997) Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19:711–720
2. Cui Z, Li W, Xu D et al (2013) Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild. IEEE Conference on Computer Vision & Pattern Recognition:3554–3561
3. Davis J V, Kulis B, Jain P, et al (2007) Information-theoretic metric learning. Proceedings of the 24th international conference on Machine learning. ACM, pp. 209–216.
4. Hao S, Wei W, Yan Y, Lorenzo B (2017) Class-wise dictionary learning for hyperspectral image classification. Neurocomputing 220:121–129
5. He L, Li H, Zhang Q, Sun Z (2018) Dynamic Feature Learning for Partial Face Recognition. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7054–7063
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Face Detection and Identification based on 2D and 3D Deep Texture Features;2022 Ninth International Conference on Software Defined Systems (SDS);2022-12-12
2. A Novel Fusion Scheme for Face Recognition in Challenging Conditions;Lecture Notes in Networks and Systems;2022-08-25
3. Thermoacoustic environment comfort evaluation method based on facial micro-expression recognition;Building and Environment;2022-08
4. New Deep Learning Model for Face Recognition and Registration in Distance Learning;International Journal of Emerging Technologies in Learning (iJET);2022-06-21
5. Iris recognition based on local circular Gabor filters and multi-scale convolution feature fusion network;Multimedia Tools and Applications;2022-04-18
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3