The Perceptual Science Group is led by Ted Adelson and Ruth Rosenholtz, in the Department of Brain and Cognitive Sciences at MIT
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- page-name:
- edward adelson
- position:
- John and Dorothy Wilson Professor of Vision Science
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- Focuses on topics in human and machine vision, including mid-level vision, motion analysis, perceptual organization, and image data compressionuses on topics in human and machine vision, including mid-level vision, motion analysis, perceptual organization, and image data compressiocs in human and machine vision, including mid-level vision, motion analysis, perceptual organization, and image data compressiman and machine vision, including mid-level vision, motion analysis, perceptual organization, and image data compression.
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- ruth rosenholtz
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- Principal Research Scientist
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- Investigating human vision, particularly visual search, attention, peripheral vision, and texture perception. Also the application of human vision research to user interface design and information visualization, including the study of visual clutter. My meta-level interest is in thinking of the visual system as statistician.
postdoctoral scholars
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- Micah Kimo Johnson
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- Postdoctoral Scholar
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- Kimo is a Postdoctoral Scholar in the Perceptual Science group. He received his Ph.D. from Dartmouth College in 2007, where he focused on the problem of image forensics. His current research interests include creating and detecting fake images and problems related to image editing and analysis.
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- Benjamin Balas
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- Postdoc
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- Collaborates with Ruth Rosenholtz on behavioral experiments and modeling of "The Visual System as Statistician."
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- Forrester Cole
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- Postdoctoral Scholar
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- Interests include perception of abstract (non-photorealistic) images and drawings, algorithms for stylized or abstract rendering, and modeling tools for 3D shapes.
graduate students
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- page-name:
- alvin raj
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- Graduate Student
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- Working with Ruth Rosenholtz on computer vision related to driving, as well as behavioral experiments and modeling on "The Visual System as Statistician."
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- nathaniel twarog
- position:
- Graduate Student
- introduction:
- Focuses on topics in human and machine vision, including mid-level vision, motion analysis, perceptual organization, and image data compressionuses on topics in human and machine vision, including mid-level vision, motion analysis, perceptual organization, and image data compressiocs in human and machine vision, including mid-level vision, motion analysis, perceptual organization, and image data compressiman and machine vision, including mid-level vision, motion analysis, perceptual organization, and image data compression.
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- page-name:
- xuetao zhang
- position:
- Visiting Graduate Student
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- Working with Ruth Rosenholtz on computer & human vision as related to driving.
undergraduate associates
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- livia ilie
- position:
- Undergrad Sophomore
- introduction:
- Working with Ruth Rosenholtz on modeling reaction time and number of fixations for visual search.
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- jenna kelly
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- Undergrad Senior (Visiting)
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- Working with Ruth Rosenholtz on behavioral experiments investigating summary-statistic models of peripheral vision.
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- william ung
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- Undergrad Junior
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- Working with Ruth Rosenholtz and Bill Freeman to amplify motion so as to aid in detection of suspicious behavior.
administration
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- john canfield
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- Administrative / Technical Assistant
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- Fixes problems and throws parties when students graduate.
affiliates
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- page-name:
- aude oliva
- position:
- Associate Professor of Visual Sciences
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- Investigating high-level human cognition and computational modeling of visual cognition. Her current research program focuses on the representation of visual complexity and visual simplicity; the representation of scene spatial envelope and spatial layout; the relations between image statistic descriptors and the conceptual representation of scenes and objects; the mechanisms of scene recognition in brief glances as well as mechanisms of attentional and eye movements deployment in complex scenes.
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- page-name:
- whitman richards
- position:
- Professor of Cognitive Science
- introduction:
- Currently focuses on high-level vision and the question of how perceptual knowledge is represented and structured. A consequence of this work was the invention of a new scaling technique, ``Trajectory mapping'', which overcomes some of the limitations of multi-dimensional scaling and allows one to explore the "paths" that link elements in conceptual spaces.
