visual object recognition neurobiology 230 – harvard / gsas 78454 gabriel kreiman email:...

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Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email : [email protected] Phone : 617-919-2530 Web site : http://tinyurl.com/vision-class Dates : Mondays Time : 3:30 – 5:30 PM Location : Biolabs 1075

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Page 1: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Visual Object Recognition

Neurobiology 230 – Harvard / GSAS 78454

Gabriel Kreiman

Email: [email protected]

Phone: 617-919-2530

Web site: http://tinyurl.com/vision-class

Dates: Mondays

Time: 3:30 – 5:30 PM

Location: Biolabs 1075

Page 2: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Gestalt laws – Basic phenomenological constraints

• Law of Closure — The mind may experience elements it does not perceive through sensation, in order to complete a regular figure (that is, to increase regularity).• Law of Similarity — The mind groups similar elements into collective entities or totalities. This similarity might depend on relationships of form, color, size, or brightness.• Law of Proximity — Spatial or temporal proximity of elements may induce the mind to perceive a collective or totality.• Law of Symmetry (Figure ground relationships)— Symmetrical images are perceived collectively, even in spite of distance.• Law of Continuity — The mind continues visual, auditory, and kinetic patterns.• Law of Common Fate — Elements with the same moving direction are perceived as a collective or unit.

Page 3: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

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Law of closure – The Kanizsa triangle

Page 4: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Law of similarity

Page 5: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

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Law of proximity

Page 6: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

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Law of continuity

Page 7: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Law of common fate

Page 8: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Size tolerance

x

A A A A AAA

Page 9: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Position tolerance

x

bd db bd bd bd db db db db bdbd

Page 10: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Tolerance to viewpoint and illumination changes

Chou HungCheston Tan

Gabriel Kreiman

Page 11: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Tolerance to viewpoint and illumination changes

Page 12: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

One-shot learning for scale tolerance

Page 13: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Other transformations require example-based training

Page 14: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Beyond pixels – Context matters

Page 15: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Visual recognition depends on experience

Page 16: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Recognition from minimal features

Page 17: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Recognition of caricatures

Images: Hanoch Piven

Page 18: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Visual recognition can be extremely fast

Page 19: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Psychophysics: The study of the dependencies of psychological experiences upon the physical stimuli that generate them

If we are careful, we can learn about how the brain works by measuring it indirectly, using the behavioral responses it generates.

Basic measures: • Reaction time — The time taken by subjects to perform a task or make a judgment can give an indication (or at least an upper bound) of how long the necessary psychological (and hence neural) processing takes.• Performance — Often inversely related to reaction time. There are techniques for mitigating response biases.• Threshold — Stimuli can be varied to determine the threshold for detection, discrimination, or some more complex psychological phenomenon.

Depending on experimental goals, one or more can be probed.

Page 20: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Visual recognition can be extremely fast

Kirchner, H., & Thorpe, S. J. (2006). Ultra-rapid object detection with saccadic eye movements: visual processing speed revisited. Vision Res, 46(11), 1762-1776.

Page 21: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

The visual system has a very large capacity

Page 22: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

A massive recollection capacity

Brady, T. F., Konkle, T., Alvarez, G. A., & Oliva, A. (2008). Visual long-term memory has a massive storage capacity for object details. Proc Natl Acad Sci U S A, 105(38), 14325-14329.

Page 23: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Gestalt laws apply to object recognition

Pelli, Majaj, Raizman, Christian, Kim, & Palomares (2009). Grouping in object recognition: The role of a Gestalt law in letter identification. Cognitive Neuropsychology, 26(1), 36-49.

Page 24: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Is information integrated over time?

Page 25: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Is information integrated over time?

Brief asynchronies disrupt object recognition, but some integration persists even beyond 100 ms.

Page 26: Visual Object Recognition Neurobiology 230 – Harvard / GSAS 78454 Gabriel Kreiman Email: gabriel.kreiman@tch.harvard.edu gabriel.kreiman@tch.harvard.edu

Further reading

Regan, D. Human Perception of Objects (2000). Sinauer Associates. Sunderland, Massachusets.

Frisby, JP and Stone JV. Seeing (2010). MIT Press. Cambridge, Massachusetts.

Original articles cited in class (see lecture notes for complete list) Potter, MC (1969) Recognition memory for a rapid sequence of pictures. Journal of Experimental Psychology

81:10-15. Kirchner, H., & Thorpe, S. J. (2006). Ultra-rapid object detection with saccadic eye movements: visual

processing speed revisited. Vision Res, 46(11), 1762-1776. Brady, T. F., Konkle, T., Alvarez, G. A., & Oliva, A. (2008). Visual long-term memory has a massive storage

capacity for object details. Proc Natl Acad Sci U S A, 105(38), 14325-14329 Mooney CM. (1957). Age in the development of closure ability in children. Canadian Journal of Psychology

11: 219-226