Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features [chapter]

C. Belver, I. Arganda-Carreras, F. Dornaika
2017 Lecture Notes in Computer Science  
In the past few years, human facial age estimation has drawn a lot of attention in the computer vision and pattern recognition communities because of its important applications in age-based image retrieval, security control and surveillance, biometrics, human-computer interaction (HCI) and social robotics. In connection with these investigations, estimating the age of a person from the numerical analysis of his/her face image is a relatively new topic. Also, in problems such as Image
more » ... ion the Deep Neural Networks have given the best results in some areas including age estimation. In this work we use three hand-crafted features as well as five deep features that can be obtained from pre-trained deep convolutional neural networks. We do a comparative study of the obtained age estimation results with these features.
doi:10.1007/978-3-319-56687-0_9 fatcat:gyayysgmrfe37noo6f7stakeki