Parallel vision for perception and understanding of complex scenes: methods, framework, and perspectives
In the study of image and vision computing, the generalization capability of an algorithm
often determines whether it is able to work well in complex scenes. The goal of this review …
often determines whether it is able to work well in complex scenes. The goal of this review …
Super-resolution for biometrics: A comprehensive survey
The lack of resolution of imaging systems has critically adverse impacts on the recognition
and performance of biometric systems, especially in the case of long range biometrics and …
and performance of biometric systems, especially in the case of long range biometrics and …
Deep learning for source camera identification on mobile devices
In the present paper, we propose a source camera identification (SCI) method for mobile
devices based on deep learning. Recently, convolutional neural networks (CNNs) have …
devices based on deep learning. Recently, convolutional neural networks (CNNs) have …
Web-shaped model for head pose estimation: An approach for best exemplar selection
Head pose estimation is a sensitive topic in video surveillance/smart ambient scenarios
since head rotations can hide/distort discriminative features of the face. Face recognition …
since head rotations can hide/distort discriminative features of the face. Face recognition …
[HTML][HTML] A survey of iris datasets
Research on human eye image processing and iris recognition has grown steadily over the
last few decades. It is important for researchers interested in this discipline to know the …
last few decades. It is important for researchers interested in this discipline to know the …
A survey on techniques to handle face recognition challenges: occlusion, single sample per subject and expression
Face recognition is receiving a significant attention due to the need of facing important
challenges when develo** real applications under unconstrained environments. The …
challenges when develo** real applications under unconstrained environments. The …
Measuring the gender and ethnicity bias in deep models for face recognition
We explore the importance of gender and ethnic attributes in the decision-making of face
recognition technologies. Our work is in part motivated by the new European regulation for …
recognition technologies. Our work is in part motivated by the new European regulation for …
Calibrated and synchronized multi-view video and motion capture dataset for evaluation of gait recognition
We introduce synchronized and calibrated multi-view video and motion capture dataset for
motion analysis and gait identification. The 3D gait dataset consists of 166 data sequences …
motion analysis and gait identification. The 3D gait dataset consists of 166 data sequences …
A robust face super-resolution algorithm and its application in low-resolution face recognition system
In real-world surveillance scenario, the face recognition (FR) systems pose a lot of
challenges due to the captured low-resolution (LR) and noisy probe images. A new face …
challenges due to the captured low-resolution (LR) and noisy probe images. A new face …
[HTML][HTML] A hand-based biometric system in visible light for mobile environments
The analysis of the shape and geometry of the human hand has long represented an
attractive field of research to address the needs of digital image forensics. Over recent years …
attractive field of research to address the needs of digital image forensics. Over recent years …