Deep learning for biometrics: A survey
K Sundararajan, DL Woodard - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …
supervised learning tasks in multiple domains including computer vision, natural language …
Age estimation via face images: a survey
Facial aging adversely impacts performance of face recognition and face verification and
authentication using facial features. This stochastic personalized inevitable process poses …
authentication using facial features. This stochastic personalized inevitable process poses …
3d shapenets: A deep representation for volumetric shapes
Abstract 3D shape is a crucial but heavily underutilized cue in today's computer vision
systems, mostly due to the lack of a good generic shape representation. With the recent …
systems, mostly due to the lack of a good generic shape representation. With the recent …
Deep label distribution learning with label ambiguity
Convolutional neural networks (ConvNets) have achieved excellent recognition
performance in various visual recognition tasks. A large labeled training set is one of the …
performance in various visual recognition tasks. A large labeled training set is one of the …
Age and gender recognition in the wild with deep attention
Face analysis in images in the wild still pose a challenge for automatic age and gender
recognition tasks, mainly due to their high variability in resolution, deformation, and …
recognition tasks, mainly due to their high variability in resolution, deformation, and …
Deep learning in diverse intelligent sensor based systems
Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …
virtually all fields of science and engineering. The increasing complexity and the large …
Group-aware deep feature learning for facial age estimation
In this paper, we propose a group-aware deep feature learning (GA-DFL) approach for facial
age estimation. Unlike most existing methods which utilize hand-crafted descriptors for face …
age estimation. Unlike most existing methods which utilize hand-crafted descriptors for face …
Facial age estimation with age difference
Age estimation based on the human face remains a significant problem in computer vision
and pattern recognition. In order to estimate an accurate age or age group of a facial image …
and pattern recognition. In order to estimate an accurate age or age group of a facial image …
Age from faces in the deep learning revolution
Face analysis includes a variety of specific problems as face detection, person identification,
gender and ethnicity recognition, just to name the most common ones; in the last two …
gender and ethnicity recognition, just to name the most common ones; in the last two …
Robust active shape model via hierarchical feature extraction with SFS-optimized convolution neural network for invariant human age classification
The features and appearance of the human face are affected greatly by aging. A human face
is an important aspect for human age identification from childhood through adulthood …
is an important aspect for human age identification from childhood through adulthood …