A survey of face recognition techniques

TL;DR: It is proposed that how any person can be located in a campus or in a city using a cross pose face recognition method.

TL;DR: It was found that the proposed methodology was effective in terms of classification and due to the ease of implementation; it can be adopted in real-world applications.

TL;DR: In this article , a celebrity face matching system was presented to match a random human face with celebrities' faces taken from the Pins Face Recognition dataset, achieving an initial accuracy of over 89.4% and a simple face alignment method was then applied which increased the accuracy to over 99.26%.

TL;DR: Overall VRQOL in patients with NTG and POAG was found to be similar, however, social functioning and dependency were significantly worse in those with POAG, relevant to supporting glaucoma patients.

TL;DR: A comprehensive review of the recent developments on deep face recognition can be found in this paper, covering broad topics on algorithm designs, databases, protocols, and application scenes, as well as the technical challenges and several promising directions.

TL;DR: This research highlights the existing technologies of listening, speaking, reading, writing, and other senses, which are widely used in human interaction, and introduces some intelligent robot systems and platforms.

TL;DR: This paper presents comparison concerning various biometric systems simply by defining their advantages and disadvantages, restricted to accuracy, size of template, cost, security level, and long term stability.

TL;DR: A comparison of representative thermal face recognition methods is given, emphasizing their strengths and weaknesses, and trends in the development of surveillance and security systems will be outlined such as fusion of visible and thermal images and use of convolutional neural networks.