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Understanding Visual Perception: Humans vs. Machines in Facial Recognition

This presentation by Kostas Daniilidis, Assistant Professor at the GRASP Lab, University of Pennsylvania, explores the intricate processes of visual perception in humans and how these processes can be mimicked by machines. Using the example of facial recognition, particularly in recognizing public figures like President Clinton, we delve into how humans effortlessly identify faces and the challenges faced by machines in achieving similar accuracy. This discussion highlights the advancements in machine learning and artificial intelligence in the field of visual perception.

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Understanding Visual Perception: Humans vs. Machines in Facial Recognition

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Presentation Transcript

    1. 1 Visual Perception in Humans and Machines Kostas Daniilidis Assistant Professor GRASP Lab University of Pennsylvania

    2. 2 Examples How do we (humans) recognize faces ? Make a machine find President Clinton’s face in the web

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