Age-Invariant Face Recognition

By Unsang Park, Y. Tong, Anil K. Jain. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010

449 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition (2016, background): “The generative approaches [6, 15, 24] first synthesis face that matches target age and then perform recognition.”
Demographic Effects in Facial Recognition and Their Dependence on Image Acquisition: An Evaluation of Eleven Commercial Systems (2019, unknown): “of facial recognition and classification algorithms [7]–[11].”
50 years of biometric research: Accomplishments, challenges, and opportunities (2016, unknown): “In 1892,”
Face aging with conditional generative adversarial networks (2017, background): “It has plenty of applications in various domains including cross-age face recognition [3], ﬁnding lost children and entertainment [4].”
Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset (2015, methodology): “Most existing age-related works for face image analysis focus on age estimation [17]–[19] and age simulation [20]–[22].”
Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval (2014, methodology): “Most existing age-related works for face image analysis focus on age estimation [14,15,40,25,34,7,38,6,10,22,21] and age simulation [16,30,28,29,24].”