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Pose-invariant face recognition with multitask cascade networks
In this work, a face recognition method is proposed for face under pose variations using a
multitask convolutional neural network (CNN). Furthermore, a pose estimation method …
multitask convolutional neural network (CNN). Furthermore, a pose estimation method …
Unconstrained face recognition system using deep neural network: A review
The human face is one of the easiest bio-metric modality that does not require any special
imaging techniques or subject cooperation. This benefits a wide range of applications, from …
imaging techniques or subject cooperation. This benefits a wide range of applications, from …
Lahar-CNN: human activity recognition from one image using convolutional neural network learning approach
The problem of human action recognition has attracted the interest of several researchers
due to its significant use in many applications. With the great success of deep learning …
due to its significant use in many applications. With the great success of deep learning …
Sketch-Based Face Recognition Using Deep Neural Network for Criminal Investigation
Face recognition is vital for criminal investigations. When the suspect photo is not available,
his/her sketch is used by the police to match with the mugshot database manually. This …
his/her sketch is used by the police to match with the mugshot database manually. This …
Designing a new recurrent convolutional neural network for face detection and recognition in a color image
One of the hot and popular topics in the today's modern world is face recognition. It is
especially useful in security issues for identifying people and finding their background. In …
especially useful in security issues for identifying people and finding their background. In …