Age Invariant Face Recognition Using Minimal Geometrical Facial Features-Reference-Cited by-同舟云学术

Age Invariant Face Recognition Using Minimal Geometrical Facial Features

Published:2016 Issue: Volume: Page:71-77
ISSN:2194-5357
Container-title:Advanced Computing and Communication Technologies
language:
Short-container-title:

Author:

Bijarnia Saroj,Singh Preety

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-1023-1_7

Reference15 articles.

1. FGNET Aging Database. http://www.fgnet.rsunit.com (2010)

2. Cootes, T., Edwards, G., Taylor, C.: Active appearance models. Pattern Anal. Mach. Intell., IEEE Trans. 23(6), 681–685 (2001)

3. Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273–297 (1995)

4. Du, Ji-XiangWu, X.C.M.: A method based on active appearance model and gradient orientation pyramid of face verification as people age. Mathematical Problems in Engineering pp. 11–16 (2014)

5. Hall, M.A.: Correlation-based feature selection for machine learning. Technical report, Department of Computer Science, Hamilton, New Zealand (1998)

Cited by 7 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 RECOGNITION USING THE TEN-VARIATE PREDICTION ELLIPSOID FOR NORMALIZED DATA BASED ON THE BOX-COX TRANSFORMATION;Radio Electronics, Computer Science, Control;2024-06-27

2. Age-Invariant Face Recognition Based on Self-Supervised Learning;Intelligence of Things: Technologies and Applications;2023

3. A novel active shape model-based DeepNeural network for age invariance face recognition;Journal of Visual Communication and Image Representation;2022-01

4. Depiction of ethnic facial aging by forensic artists and preliminary assessment of the applicability of facial averages;Forensic Science International;2020-08

5. A novel robust feature extraction with GSO-optimized extreme learning for age-invariant face recognition;The Imaging Science Journal;2019-08-18