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Grouping In Object Recognition

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Grouping in object recognition: The role of a Gestalt law in letter identification nis G., Majaj, Najib J., Raizman, Noah, Christian, Christopher J., Kim, Edward & Palomares, Melanie C Psychology and Neural Science, New York University, New York, NY, USA. Cognitive Neuropsychology, 26 (1), 36-49.
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Page 1: Grouping In Object Recognition

Grouping in object recognition: The role of a Gestalt law in letter identification

Pelli, Denis G., Majaj, Najib J., Raizman, Noah, Christian, Christopher J., Kim, Edward & Palomares, Melanie C. (2009).

Psychology and Neural Science, New York University, New York, NY, USA.

Cognitive Neuropsychology, 26 (1), 36-49.

Page 2: Grouping In Object Recognition

Gestalt Law

Grouping(proximity)

Most are binary discrimination tasks in the past

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Binary discrimination task

Differs from ordinary object recognition task

Quick Familiar Meaningful Named

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A well-known example from speech perception

• Hard task ABX (ABA or ABB)

• Simple task X (A or B)

The Difference on voice onset time in ABX task is much more noticeable

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• Simple X(A or B) task light memory load

• Hard ABX task higher memory load.

The simple one Less noticeableThe hard one more noticeable

Difference for voice onset time

Page 6: Grouping In Object Recognition

Grouping effects categorized object recognition

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To study object recognization

Study letter recognition

Identify snake letter

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Independent Variables : wiggle

Dependent Variables : Efficiency

based on the snake on the grass

Page 9: Grouping In Object Recognition

Wiggle The angle of sinusoid with the axis

Rotating Offsetting Phase shifting

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• To measure the relatively efficiency of recognition

• Use computer program to set an ideal observer ,as a reference for human performance on a absolute scale.

Geisler, 1989

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Measure the threshold contrast for 82% correct identification, both Human and Ideal observer.

• Compute contrast energy at threshold, integrated square of the contrast function

so the efficiency and energy are proportional to squared contrast

First proposed by Watson & Pelli, 1983

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Human observer

• Two undergraduate observer

• More data each observer

Use the concept akin to the method of psychophysics

Draw conclusion from individual, not averages

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Efficiency

To neglect Zero-noise threshold E0

Apply high background noise to elevate threshold E>>E0

E0 become relatively insignificant

Tanner, Birdsall(1958)

Pelli, Farell(1999)

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Zero wiggle Efficiency = 8%

At wiggle higher than 15o Efficiency

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Conclusion

• Wiggle raises human threshold, not ideal observer

• Gestalt laws play an important role in letter identification, and may be an evidence of its importance at ordinary object recognition.

-END


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