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Professor Perona's research focuses on machine vision and visual psychophysics, specifically in visual recognition and categorization. He explores how machines can learn to recognize various objects, such as frogs, cars, and faces, with minimal human supervision. His notable project, 'Visipedia', has led to the creation of smart device applications like iNaturalist and Merlin Bird ID, which assist users in identifying plant and animal species from photographs. Collaboration with other professors has allowed him to develop vision systems that utilize statistical techniques to measure actions and activities in fruit flies and mice, thereby enabling geneticists and neuroethologists to investigate the relationship between genes, brain function, and behavior. Additionally, Professor Perona studies how people perform visual tasks, including image content recognition. His research holds potential implications for understanding visual processes in both machines and humans.
California Institute of Technology • Pasadena, CA
Leading research and instruction in the field of electrical engineering.
California Institute of Technology • Pasadena, CA
Conducting advanced research in machine vision and visual psychophysics.
California Institute of Technology • Pasadena, CA
Involved in teaching and research activities.
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