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Professor Perona's research focuses on machine vision, visual psychophysics, and machine learning, specifically in the area of visual recognition and categorization. He studies how machines can learn to recognize various objects, such as frogs, cars, faces, and trees, with minimal human supervision, drawing upon the expertise of human specialists. One of his significant projects, 'Visipedia,' has led to the development of smart device applications like iNaturalist and Merlin Bird ID, enabling users to recognize species of plants and animals through photographs. In collaboration with other faculty members, Professor Perona has been involved in creating vision systems utilizing statistical techniques to study actions and activities in fruit flies and mice, aiding geneticists and neuroethologists in exploring the connections between genes, brain function, and behavior. He is also interested in how humans accomplish visual tasks such as searching for and recognizing image content, with recent research focusing on leveraging the visual abilities of thousands of people on the web.
California Institute of Technology • Pasadena, CA
Puckett Professor, Director of Center Neuromorphic Systems Engineering, active in various teaching and research roles.
California Institute of Technology • Pasadena, CA
California Institute of Technology • Pasadena, CA
Center Neuromorphic Systems Engineering • Pasadena, CA
California Institute of Technology • Pasadena, CA
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