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My research explores human vision through the creation of computational models of visual processing and observations from perceptual experiments. My work focuses on how we analyze the three-dimensional structure and movement of objects in the environment through the integration of cues such as image motion and stereo vision, and use this information for the visual guidance of tasks such as steering a vehicle and catching a ball. As we move through complex scenes of the sort that arise when we drive or play sports, we quickly perceive distinct objects that we can recognize, track, or interact with in some way. A critical step in this process is to locate object boundaries in the rapidly changing image that reaches the eye. In my current work, I am exploring a model for the detection of object boundaries in images of complex, dynamic scenes, and conducting perceptual experiments to study how stereo and motion cues are used by the human visual system to analyze object boundaries.
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Attention, Perception, & Psychophysicsno. 7 (2011): 2218-2235
Perception & Psychophysicsno. 1 (1999): 120-133
msra(1998)
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The handbook of brain theory and neural networkspp.585-589, (1998)
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