Research Projects
Perception and Memory for Human Faces
Our lab research consists of several projects that look at how we perceive faces and people in motion and how we can explore the internal representation of a face with perceptual adaptation techniques.
Face Recognition Comparisons Between Humans and Machines
Our research has been carried out in collaboration with researchers at National Institute of Standards and Technology (NIST) and has produced data that are useful for benchmarking the performance state-of-the-art machine-based face recognition systems against humans.
Functional Neuroimaging of High Level Visual Processing of Human Faces
Functional neuroimaging techniques, including fMRI, have made it possible to “observe” the activity of the human brain as a person engages in a task. Our work focuses on expanding the types of tools used to analyze fMRI data on face perception, using pattern classification algorithms.
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