2022-07-14|

Masked Facial Recognition

Zhang Yuwei, an 2021/2022 outstanding graduate of the Department of Computer and Information Science of FST, won the “Best Final Year Project Award” for her research, on Masked Facial Recognition. As covid-19 widespread across the world, wearing mask becomes a necessity in people’s daily life. However, due to the lack of related data, wearing a mask results in ineffectiveness of most current facial recognition systems. To address this problem, we propose a crop-based recognition method for masked facial recognition, which extracts features from cropped upper face image with a modified ResNet-18 and from face landmark coordinates with a perceptron. Extracted features are combines together to determine the prediction result. Extensive experiments carried out on 4 masked face recognition datasets prove the effectiveness of the proposed method on identifying individuals wearing mask.

UM’s learning environment

Regarding winning the Best Final Year Project Award, Zhang Yuwei feels excited by winning the award, she said that the reason is because her topic was close to the current situation which responses to the actual need during the epidemic, and the article used a lot of experiments and datasets to verify. Looking back to the four years at UM, Zhang Yuwei shared that UM’s English teaching environment is able to meet the standard of foreign universities, and the academic environment is positive to her. The university also has sufficient learning resources to assist students for broader exploration, and the quiet and beautiful campus also make Zhang Yuwei feel very comfortable, so she is able to concentrate on her study without distractions.

Receiving an offer from Yale University

Zhang Yuwei said that the professors of the college are also very friendly and put a lot of effort to guide students’ research. Zhang Yuwei, who has shown a strong interest in computer science in high school, aims to become a software engineer. Now she received an offer from Yale University for a master degree. She encourages students who are interested in pursuing a master degree could find out their interests and plan for their future ahead so as to achieve more and better opportunities for themselves.

人臉口罩的識別與檢測

張羽惟是本學年電腦及資訊科學系優秀本科畢業生,憑藉人臉口罩的識別與檢測,奪得「最優秀畢業設計項目獎」。隨著新型冠狀病毒在世界廣泛傳播,戴口罩已成為人們的新常態。然而,由於缺乏人臉口罩相對應的數據,目前戴口罩仍會導致大多數人臉識別與檢測系統無效。為解決這個難題,張羽惟提出了一種基於剪裁蒙版面部的識別方法,此方法為用改進的 ResNet-18 從上半部的人臉上提取特徵,並使用感知器從面部標誌坐標中提取特徵。 將提取的特徵組合在一起以確定預測結果。在張羽惟的研究中,在4組戴口罩人臉識別數據集上進行大量實驗,結果證明了所提出的方法在識別人臉口罩上是有效的。

澳大良好的學術環境

對於獲得最佳優秀作品項目獎,張羽惟謙虛地表示自己只是貼近現況,結合現實的需求,加上文章運用了大量的實驗做驗證,對於能夠獲獎也表示很鼓舞。回望四年大學生活,張羽惟認為澳大的全英語教學,較貼近外國大學的水平,學術環境也十分自由。大學也有充分的學習資源,可幫助學生探索更多,而恬靜優美的校園環境及生活也令張羽惟感到十分舒心,可以專心致志及心無旁鶩地讀書。

獲美國耶魯大學取錄

張羽惟表示學院的教授也十分親切,十分用心地指導學生的研究。高中時期已對計算機展現出濃厚的興趣,立志要成為軟件工程師的張羽惟,目前已獲美國耶魯大學取錄,準備升讀碩士。她鼓勵有志升讀碩士的學妹學弟們,應先充分了解自己的興趣,及早規劃前路,才能為自己創造更好未來。

Zhang Yuwei 張羽惟

Zhang Yuwei and her friends from FST
張羽惟及學院的同學

Able to recognize the upper face 可識別上半臉