Estimation of Human Age and Facial Expression Using Biologically Inspired Features
نویسندگان
چکیده
In this paper we deal with the problems of human age and facial expression estimation. We propose to use Biologically Inspired Features (BIF) as a facial descriptor in the both tasks to improve performance. We developed a complete pipeline for solving those problems including geometric normalization step and CLAHE method for photometric normalization. To the best of our knowledge using BIF for facial expression classification, as well as combining BIF together with ordinal hyperplanes ranking for age prediction haven't been studied before. The proposed pipeline was tested on the standard datasets such as the FG-NET aging and the Extended Cohn-Kanade (CK+) expression databases and demonstrated high accuracy compared to the state-of-the-art methods.
منابع مشابه
Age Estimation Using Classifiers Artificial Neural Network and Support Vector Machine Based on Face Images
The most prominent challenge in the facial age estimation is a lack of sufficient and incomplete training data. Aging is slower and gradual process, therefore, faces near close ages look quite similar this can allow us to utilize the face images at neighbouring ages with modeling to a particular age. There are many potential applications in age-specific human-computer interaction for security c...
متن کاملFacial Expression Recognition Based on Anatomical Structure of Human Face
Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...
متن کاملFacial Expression Recognition Based on Structural Changes in Facial Skin
Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
متن کاملBiologically Inspired Four Elements Compact Antenna Arrays With Enhanced Sensitivity for Direction of Arrival Estimation
A new four elements compact antenna array is presented and discussed to achieve enhanced phase resolution without sacrificing the array output power. This structure inspired by the Ormia Ochracea’s coupled ears. The analogy between this insect acute directional hearing capabilities and the electrically compact antenna array is used to enhance the array sensitivity to direction of arrival estima...
متن کاملComparative Study of Human Age Estimation with or without Preclassification of Gender and Facial Expression
Age estimation has many useful applications, such as age-based face classification, finding lost children, surveillance monitoring, and face recognition invariant to age progression. Among many factors affecting age estimation accuracy, gender and facial expression can have negative effects. In our research, the effects of gender and facial expression on age estimation using support vector regr...
متن کامل