https://scholars.lib.ntu.edu.tw/handle/123456789/580974
標題: | Learning based age estimation using joint loss and facial landmarks | 作者: | Hsu M.C JIAN-JIUN DING |
關鍵字: | Alignment; Deep learning; Extraction; Age recognition; Attention mechanisms; Classification models; Contrast adjustment; Data preprocessing; Expected values; Learning architectures; Surveillance systems; Face recognition | 公開日期: | 2020 | 起(迄)頁: | 106-109 | 來源出版物: | Proceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020 | 摘要: | Age recognition is an important technology in computer vision, surveillance systems, and commerce. It can be applied in many scenarios, including age restrictions in specific places, drinking restrictions, and reminders for underage or elderly drivers in traffic applications. In this study, we proposed an accurate age recognition algorithm, which applies the techniques of landmark-based alignment, the attention model, and the expected value method in the deep learning architecture. The algorithm consists of three stages. The first stage is data preprocessing, including face detection, cropping, face alignment (to normalize the position and angle of each face), and contrast adjustment. The second stage is a feature extraction model. It is based on the Residual Attention Model with the attention mechanism. Moreover, the domain filter, the joint loss, and the facial landmark extraction are also adopted. The third stage is the classification model. Its input is the 1024-dimensional features extracted in the 2nd stage and the input image. Then, the expected value method is applied to calculate the explicit age. Simulations show that the proposed algorithm outperforms other age estimation methods and can estimate the age accurately. ? 2020 IEEE |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104828632&doi=10.1109%2fIS3C50286.2020.00035&partnerID=40&md5=d02c1f008da43d5d9f2449f4b2ff1f7b https://scholars.lib.ntu.edu.tw/handle/123456789/580974 |
DOI: | 10.1109/IS3C50286.2020.00035 |
顯示於: | 電機工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。