Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks

• Published in: International journal of computer vision Vol. 126; no. 2-4; pp. 272 - 291
• Main Authors: Chen, Jun-Cheng, Ranjan, Rajeev, Sankaranarayanan, Swami, Kumar, Amit, Chen, Ching-Hui, Patel, Vishal M., Castillo, Carlos D., Chellappa, Rama
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2018; Springer; Springer Nature B.V
• Subjects: Artificial Intelligence; Artificial neural networks; Biometry; Computer Imaging; Computer Science; Datasets; Digital video; Face recognition; Image Processing and Computer Vision; Machine learning; Neural networks; Object recognition; Pattern Recognition; Pattern Recognition and Graphics; Performance evaluation; Vision; Deep learning; Face detection/association; Metric learning; Face verification; Fiducial detection

Over the last 5 years, methods based on Deep Convolutional Neural Networks (DCNNs) have shown impressive performance improvements for object detection and recognition problems. This has been made possible due to the availability of large annotated datasets, a better understanding of the non-linear m...