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Quan Zhou

North Carolina State University · US
Area of research
Computer Vision and Pattern Recognition · Electrical and Electronic Engineering
Research interest
Research topics from publications: Rapid Processing of a Global Feature in the ON Visual Pathways of Behaving Monkeys. Representative work: Visual objects are recognized by their features. Whereas, some features are based on simple components (i.e., local features, such as orientation of line segments), some features are based on the whole object (i.e., global features, such as an object having a hole in it). Over the past five decades, behavioral, physiological, anatomical, and computational studies have established a general model of vision, which starts from extracting local features in the lower visual pathways followed by a feature integration process that extracts global features in the higher visual pathways. This local-to-global model is successful in providing a unified account for a vast sets of perception experiments,
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Recent publications

Rapid Processing of a Global Feature in the ON Visual Pathways of Behaving Monkeys
Frontiers in Neuroscience 2017cited by 12position: middledoi

Grants

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Frequent collaborators

Ke Zhou · Shandong University1 papers (2017–2017)Hong Zhu · Nanjing University of Chinese Medicine1 papers (2017–2017)Yingshan Yang · South China Agricultural University1 papers (2017–2017)Yifeng Zhou · Anhui Medical University1 papers (2017–2017)Jun Huang · The Ohio State University1 papers (2017–2017)Xudong Zhao · Beijing Institute of Technology1 papers (2017–2017)Chunming Zhang · Shanxi Medical University1 papers (2017–2017)Wu Zhou · Imperial College Healthcare NHS Trust1 papers (2017–2017)Yan Yang · Jinan University1 papers (2017–2017)