2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to video analysis and affective computing
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Local binary patterns and Facial recognition system. Feature extraction, Robustness, Histogram, Face and Image texture are subfields of Artificial intelligence in which his conducts study. In the field of Pattern recognition, his study on Sparse approximation overlaps with subjects such as Path graph.
His study in the field of Background subtraction and Biometrics is also linked to topics like Heart rate measurement and Heart rate monitoring. His Local binary patterns research incorporates themes from Segmentation, Discriminative model and Invariant. His Facial recognition system research is multidisciplinary, incorporating elements of Margin, Feature, Facial expression and Spotting.
Guoying Zhao mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Local binary patterns and Facial recognition system. His Artificial intelligence study focuses mostly on Face, Feature extraction, Discriminative model, Facial expression and Deep learning. His Feature extraction research integrates issues from Contextual image classification, Feature selection, Three-dimensional face recognition and Feature vector.
Guoying Zhao interconnects Facial expression recognition, Spotting, Speech recognition, Support vector machine and Face hallucination in the investigation of issues within Facial expression. His research in Pattern recognition tackles topics such as Histogram which are related to areas like Image texture. His work on Anti spoofing and Face detection is typically connected to Spoofing attack as part of general Facial recognition system study, connecting several disciplines of science.
Guoying Zhao mainly focuses on Artificial intelligence, Pattern recognition, Benchmark, Facial recognition system and Face. His Machine learning research extends to Artificial intelligence, which is thematically connected. His research integrates issues of RGB color model, Photoplethysmogram, Noise and Skeleton in his study of Pattern recognition.
His research on Benchmark also deals with topics like
His primary areas of study are Artificial intelligence, Pattern recognition, Benchmark, Facial recognition system and Face. His work on MNIST database as part of general Artificial intelligence research is frequently linked to Probability distribution, thereby connecting diverse disciplines of science. His Feature extraction, Anomaly detection and Classifier study in the realm of Pattern recognition interacts with subjects such as Novelty.
His Feature extraction study incorporates themes from Representation, Histogram, Deep learning and Data modeling. Guoying Zhao usually deals with Benchmark and limits it to topics linked to Feature and Facial expression recognition, Discriminative model and Database. His biological study spans a wide range of topics, including Machine learning and Finite difference.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
Guoying Zhao;M. Pietikainen.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)
WLD: A Robust Local Image Descriptor
Jie Chen;Shiguang Shan;Chu He;Guoying Zhao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)
Computer Vision Using Local Binary Patterns
Matti Pietikinen;Abdenour Hadid;Guoying Zhao;Timo Ahonen.
(2011)
Local Binary Patterns for Still Images
Matti Pietikäinen;Abdenour Hadid;Guoying Zhao;Timo Ahonen.
(2011)
Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
Shengcai Liao;Guoying Zhao;Vili Kellokumpu;Matti Pietikainen.
computer vision and pattern recognition (2010)
CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation
Wen-Jing Yan;Xiaobai Li;Su-Jing Wang;Guoying Zhao.
PLOS ONE (2014)
Rotation-Invariant Image and Video Description With Local Binary Pattern Features
Guoying Zhao;T. Ahonen;J. Matas;M. Pietikainen.
IEEE Transactions on Image Processing (2012)
Facial expression recognition from near-infrared videos
Guoying Zhao;Xiaohua Huang;Matti Taini;Stan Z. Li.
Image and Vision Computing (2011)
Recognising spontaneous facial micro-expressions
Tomas Pfister;Xiaobai Li;Guoying Zhao;Matti Pietikainen.
international conference on computer vision (2011)
Remote Heart Rate Measurement from Face Videos under Realistic Situations
Xiaobai Li;Jie Chen;Guoying Zhao;Matti Pietikäinen.
computer vision and pattern recognition (2014)
Profile was last updated on December 6th, 2021.
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