Results 51 to 60 of about 6,456,473 (363)
Face Processing: Theoretical and methodological aspects [PDF]
Face processing is one of the most relevant aspects of our existence, as it allows the identification of others, as well as the understanding of their emotional states and behavioral dispositions, thus constituting a source of information for human ...
Adriana Manso Melchiades +3 more
doaj +1 more source
Notes on the semiotics of face recognition
Perceiving and recognizing others via their faces is of pivotal importance. The ability to perceive others in the environment – to discern between friends and foes, selves and others – as well as to detect and seek to predict their possible moves, plans,
Remo Gramigna, Cristina Voto
doaj +1 more source
Beyond Masks: On the Generalization of Masked Face Recognition Models to Occluded Face Recognition
Over the years, the evolution of face recognition (FR) algorithms has been steep and accelerated by a myriad of factors. Motivated by the unexpected elements found in real-world scenarios, researchers have investigated and developed a number of methods ...
Pedro C. Pedro Neto +5 more
doaj +1 more source
Data Uncertainty Learning in Face Recognition [PDF]
Modeling data uncertainty is important for noisy images, but seldom explored for face recognition. The pioneer work, PFE, considers uncertainty by modeling each face image embedding as a Gaussian distribution. It is quite effective.
Jie Chang +3 more
semanticscholar +1 more source
In this paper, facial highlights are extricated by consolidating and contrasting different models, and afterward a profound brain organization is developed to prepare and build the consolidated highlights. Along these lines, the upsides of different models can be consolidated to make reference to the acknowledgment exactness.
openaire +1 more source
To distinguish between high-level visual processing mechanisms, the degree to which holistic processing is involved in facial identity, facial expression, and object perception is often examined through measuring inversion effects.
Pamela M. Pallett +2 more
doaj +1 more source
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition [PDF]
Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in face recognition recently. However, it remains an open question: why CNNs work well and how to design a 'good' architecture.
Christmas, William +6 more
core +2 more sources
The face is the most important area on the human body for visually differentiating between individuals. When encountering another person, humans initially gaze at and perceive the face holistically, utilizing first-order relational information and ...
Masanori Kohda +2 more
doaj +1 more source
Toward Open-Set Face Recognition
Much research has been conducted on both face identification and face verification, with greater focus on the latter. Research on face identification has mostly focused on using closed-set protocols, which assume that all probe images used in evaluation ...
Boult, Terrance E. +3 more
core +1 more source
Face Recognition and Identification using Deep Learning Approach
Human face is the significant characteristic to identify a person. Everyone has their own unique face even for twins. Thus, a face recognition and identification are required to distinguish each other. A face recognition system is the verification system
K. Teoh +5 more
semanticscholar +1 more source

