Automatic age estimation from facial images is an exciting machine learning topic that has attracted researchers’ attention over the past several years. Numerous human–computer interaction applications, such as targeted marketing, content access control, or soft-biometrics systems, employ models to carry out secondary tasks user filtering identification. Despite vast array of applications could...

Facial age estimation is an important yet very challenging problem in computer vision. To improve the performance of facial estimation, we first formulate a simple standard baseline and build much strong one by collecting tricks pre-training, data augmentation, model architecture, so on. Compared with baseline, proposed significantly decreases errors. Moreover, long-tailed recognition has been ...

Recognition of facial attributes such as facial point, gender, and age has been used in marketing strategies and social networking services. Marketing strategies recommend the goods, that are supposed to matches the needs of potential clients. Various social networking services based on facial recognition techniques have recently been developed that can estimate age from a facial image with a h...

Aging progress of a person is influenced by many factors such as genetics, health, lifestyle, and even weather conditions. Therefore human age estimation from a face image is a challenging problem. Aging causes significant variations in facial shape and texture across years. In order to construct a general age classifier, shape and texture information of human face should be used together. In t...

This paper provides a new age estimation approach, which distinguishes itself with the following three contributions. First, we combine distance metric learning and dimensionality reduction to better explore the connections between facial features and age labels. Second, to exploit the intrinsic ordinal relationship among human ages and overcome the potential data imbalance problem, a label-sen...

With the advancement of computer vision techniques in surveillance systems, need for more proficient, intelligent, and sustainable facial expressions age recognition is necessary. The main purpose this study to develop accurate an system that capable error-free human expression both indoor outdoor environments. proposed first takes input image pre-process it then detects faces entire image. Aft...