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Face recognition is widely used in many computer vision applications such as surveillance, traffic monitoring, robot vision, access control and so on. However, some problems in face recognition still exist which the expression changes, head movements, accessory occlusion, light changes and aging effect are the main issues. For the aging effect, the shape and texture changes degrade the performance...
Along with the long-time evolution of popular social networks, e.g. Facebook, social media analysis research inevitably arrived at the era of considering face/user recognition with large age gaps. However, related research with adequate subjects and large age gaps is surprisingly rare. In this work, we first collect a so-called cross-age face (CAFE) dataset, ranging from child, to young, to adult,...
A person's face provides a lot of information such as age, gender and identity. Faces allow humans to estimate/ classify the age of other persons just by looking at their face. Researchers who carried out work in studying the process of age classification by humans conclude that humans are not so accurate in age classification; hence the possibility of developing facial age classification methods...
In this paper we investigate whether human digital fingerprints can be used to estimate human age-groups. To our knowledge, human age-group estimation using digital fingerprints have not been addressed formally. Human age-group estimation can be applied in the areas of online child protection, age based access control or customized services based on estimated age-groups. Motivated by the fact that...
Researchers have previously studied the prediction of “soft biometric” attributes such as gender and ethnicity from iris texture images. We present the results of an initial study to predict the relative age of a person from such images. We conclude that is possible to categorize iris images as representing a young or older person at levels of accuracy statistically significantly greater than random...
Automatic age estimation is the process of using a computer to predict the age of a person automatically based on a given facial image. While this problem has numerous real-world applications, the high variability of aging patterns and the sparsity of available data present challenges for model training. Here, instead of training one global aging function, we train an individual function for each...
Analysis of face images has been the topic of in-depth research with wide spread applications. Face recognition, verification, age progression studies are some of the topics under study. In order to facilitate comparison and benchmarking of different approaches, various datasets have been released. For the specific topics of face verification with age progression, aging pattern extraction and age...
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