Facial Age Estimation Using a Multi-task Network Combining Classification and Regression
نویسندگان
چکیده
منابع مشابه
A new classification method based on pairwise SVM for facial age estimation
This paper presents a practical algorithm for facial age estimation from frontal face image. Facial age estimation generally comprises two key steps including age image representation and age estimation. The anthropometric model used in this study includes computation of eighteen craniofacial ratios and a new accurate skin wrinkles analysis in the first step and a pairwise binary support vector...
متن کاملFacial age estimation using BSIF and LBP
Human face aging is irreversible process causing changes in human face characteristics such us hair whitening, muscles drop and wrinkles. Due to the importance of human face aging in biometrics systems, age estimation became an attractive area for researchers. This paper presents a novel method to estimate the age from face images, using binarized statistical image features (BSIF) and local bin...
متن کاملMulti-task Regression using Minimal Penalties Multi-task Regression using Minimal Penalties
In this paper we study the kernel multiple ridge regression framework, which we refer to as multi-task regression, using penalization techniques. The theoretical analysis of this problem shows that the key element appearing for an optimal calibration is the covariance matrix of the noise between the different tasks. We present a new algorithm to estimate this covariance matrix, based on the con...
متن کاملFacial Age Classification using Subpattern-based Approaches
In this paper subpattern-based approaches are used to solve the age classification problem on facial images. Subpattern-based approaches named Local Binary Patterns (LBP), subpattern-based Principal Component Analysis (spPCA) and modular Principal Component Analysis (mPCA) are examined to demonstrate the age classification performance on female and male facial images of human beings with severa...
متن کاملSubjective Age Estimation System Using Facial Images
We propose a relative estimation method for subjective age, imaged by ourselves, using peoples’ facial images and their chronological (real) age. We experimented with a rating scale for facial images which stimulated subjects. The subject evaluated an image as looking older than themselves with a range of responses. Finding an approximation curve of this range, the zero crossing point in the ap...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2994322