Tingting Zhao

Tianjin University of Science and Technology

Tingting Zhao is an Associate Professor in the College of Artificial Intelligence, Tianjin University of Science and Technology, China. She obtained a Ph.D. in Computer Science from Tokyo Institute of Technology, Japan, in 2014. She has authored one book and published more than fifty papers in leading international journals and conferences on machine learning, including neural computation, neural networks and neural information processing systems. She holds more than ten patents. She has served as a program member of top conferences. She has wide research interests, including machine learning and data mining, with a focus on reinforcement learning, robot control, and intelligence systems.

1chapters authored

Chapters authored

Face Recognition with Facial Occlusion Based on Local Cycle Graph Structure Operator

By Jucheng Yang, Lingchao Zhang, Meng Li, Tingting Zhao, Yarui Chen, Jianzheng Liu and Na Liu

Facial occlusion is a difficulty in the field of face recognition. The lack of features caused by occlusion may reduce the face recognition rate greatly. How to extract the identified features from the occluded faces has a profound effect on face recognition. This chapter presents a Local Cycle Graph Structure (LCGS) operator, which makes full use of the information of the pixels around the target pixel with its neighborhood of 3 × 3. Thus, the recognition with the extracted features is more efficient. We apply the extreme learning machine (ELM) classifier to train and test the features extracted by LCGS algorithm. In the experiment, we use the olivetti research laboratory (ORL) database to simulate occlusion randomly and use the AR database for physical occlusion. Physical coverings include scarves and sunglasses. Experimental results demonstrate that our algorithm yields a state-of-the-art performance.

Part of the book: Machine Learning and Biometrics

Tingting Zhao

Chapters authored

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