Sharp Targets Are Detected Better Against a Figure, and Blurred Targets Are Detected Better Against a Background - PowerPoint PPT Presentation

1 / 12
About This Presentation
Title:

Sharp Targets Are Detected Better Against a Figure, and Blurred Targets Are Detected Better Against a Background

Description:

Sharp Targets Are Detected Better Against a Figure, and Blurred Targets Are Detected Better Against a Background Eva Wong and Noami Weisstein, 1983 – PowerPoint PPT presentation

Number of Views:119
Avg rating:3.0/5.0
Slides: 13
Provided by: chr176
Category:

less

Transcript and Presenter's Notes

Title: Sharp Targets Are Detected Better Against a Figure, and Blurred Targets Are Detected Better Against a Background


1
Sharp Targets Are Detected Better Against a
Figure, and Blurred Targets Are Detected Better
Against a Background
  • Eva Wong and Noami Weisstein, 1983

2
Overview
  • Background
  • Figure vs. Ground
  • Reversal
  • Processing Differences
  • Experiments
  • Assumptions Hypothesis
  • Research Question
  • Design Measures
  • Results
  • Discussion

3
BackgroundFigure vs. Ground
  • Rubins illusion

4
BackgroundFigure-Ground Reversals
  • When foreground becomes background and/or
    vice versa
  • Widespread in art (according to Douglas
    Hofstadter, anyway)

5
BackgroundProcessing Differences
  • Figure aids detection of
  • Contour discontinuity
  • Retinal image displacement
  • Line orientation
  • Possible Reasons
  • Differential attention?
  • Differential resolution?
  • Differential sensitivity to spatial frequency?

6
The ExperimentAssumptions Hypothesis
  • Figure and Ground represent different
    channels in the visual system
  • The channels have different functions
  • Figure responsible for detail
  • Ground responsible for global information
  • Therefore
  • Figure channel more sensitive to high spatial
    frequencies
  • Ground channel more sensitive to low spatial
    frequencies

7
The ExperimentResearch Question
  • So, is the detection threshold
  • lower in the figural regions for high spatial
    frequencies (such as a sharp target?)
  • lower in the ground region for low spatial
    frequencies (such as a blurred target?)
  • vs.

8
The ExperimentDesign Measures
  • First Experiment
  • Purpose
  • Find observers who hold their (monocular) gaze
    regardless of whats figure or ground
  • Procedure
  • Half of subjects initiate trial when the faces
    are figure the other half initiate the trial
    only when the goblet is figure
  • The stimulus then appears in the blind spot at
    50 probability
  • Measure detection accuracy if different than
    chance, theyre not fixating!

9
The ExperimentDesign Measures (cont.)
  • Second Experiment
  • Purpose
  • Establish luminance level where TP 70 for both
    blurred and sharp targets
  • Procedure
  • Display sharp target at fixation cross at 50
    probability
  • Change luminance until 70 accuracy is achieved
    for each of three blocks
  • Measure the final luminance value for each
    observer
  • Repeat for blurred target

10
The ExperimentDesign Measures (cont.)
  • Third Experiment
  • Purpose
  • Determine accuracy of target detection against
    figure and against ground regions
  • Procedure
  • Target has a 50 probability of being presented
  • If target is presented (20 msec), it has
  • A 50 probability of being in the goblet region
  • A 50 probability of being in a face region
  • Measure TP and FP to estimate d and plot ROC

11
Results
  • Discrimination improves
  • When sharp targets displayed in figure
  • When blurred targets displayed in ground
  • Off-fixation attenuates d by a fixed magnitude
  • Reflects an early processing constraint retinal
    eccentricity
  • Caused by decreasing resolution with increasing
    distance from fovea

12
Discussion
  • Conclusions
  • Different visual processes mediate the analysis
    of figure and ground
  • Accuracy not determined solely by attention, as
    defined by gaze or what is perceived as figure)
  • Accuracy is also not determined solely by
    photoreceptor density
  • Global information extraction may proceed
    faster than figure analysis
Write a Comment
User Comments (0)
About PowerShow.com