Loading in 5 sec....

Why is Spatial Stereoacuity so Poor?PowerPoint Presentation

Why is Spatial Stereoacuity so Poor?

- By
**nakia** - Follow User

- 71 Views
- Uploaded on

Download Presentation
## PowerPoint Slideshow about 'Why is Spatial Stereoacuity so Poor?' - nakia

**An Image/Link below is provided (as is) to download presentation**

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript

Why is Spatial Stereoacuity so Poor?

Martin S. Banks

School of Optometry, Dept. of Psychology

UC Berkeley

Sergei Gepshtein

Vision Science Program

UC Berkeley

Michael S. Landy

Dept. of Psychology, Center for Neural Science

NYU

Supported by NIH

How precise is the depth map generated from disparity?

from Tyler (1977)

- Stereo precision measured in various ways
- A: Precision of detecting depth change on line of sight
- D: Precision of detecting spatial variation in depth

from Tyler (1977)

- Stereo precision measured in various ways
- A: Detect depth change on line of sight
- D: Precision of detecting spatial variation in depth

from Tyler (1977)

- Stereo precision measured in various ways
- A: Detect depth change on line of sight
- D: Detect spatial variation in depth

- Modulate disparity sinusoidally creating corrugations in depth.
- Least disparity required for detection as a function of spatial frequency of corrugations: “Disparity MTF”.
- Index of precision of depth map.

- Disparity modulation threshold as a function of spatial frequency of corrugations.
- Bradshaw & Rogers (1999).
- Horizontal & vertical corrugations.
- Disparity MTF: acuity = 2-3 cpd; peak at 0.3 cpd.

Luminance Contrast Sensitivity & Acuity

- Luminance contrast sensitivity function (CSF): contrast for detection as function of spatial frequency.
- Proven useful for characterizing limits of visual performance and for understanding optical, retinal, & post-retinal processing.
- Highest detectable spatial frequency (grating acuity): 40-50 c/deg.

Spatial stereoacuity more than 1 log unit lower than luminance acuity.

Spatial stereoacuity more than 1 log unit lower than luminance acuity.

Why is spatial stereoacuity so low?

Likely Constraints to Spatial Stereoacuity

- Sampling constraints in the stimulus: Stereoacuity measured using random-element stereograms. Discrete sampling limits the highest spatial frequency one can reconstruct.
- Disparity gradient limit: With increasing spatial frequency, the disparity gradient increases. If gradient approaches 1.0, binocular fusion fails.
- Spatial filtering at the front end: Optical quality & retinal sampling limit acuity in other tasks, so probably limits spatial stereoacuity as well.
- The correspondence problem: Manner in which binocular matching occurs presumably affects spatial stereoacuity.

Likely Constraints to Spatial Stereoacuity

- Sampling constraints in the stimulus: Stereoacuity measured using random-element stereograms. Discrete sampling limits the highest spatial frequency one can reconstruct.
- Disparity gradient limit: With increasing spatial frequency, the disparity gradient increases. If gradient approaches 1.0, binocular fusion fails.
- Spatial filtering at the front end: Optical quality & retinal sampling limit acuity in other tasks, so probably limits spatial stereoacuity as well.
- The correspondence problem: Manner in which binocular matching occurs presumably affects spatial stereoacuity.

Spatial Sampling Limit: Nyquist Frequency

- Signal reconstruction from discrete samples.
- At least 2 samples required per cycle.
- In 1d, highest recoverable spatial frequency is Nyquist frequency:
- where N is number of samples per unit distance.

Spatial Sampling Limit: Nyquist Frequency

- Signal reconstruction from 2d discrete samples.
- In 2d, Nyquist frequency is:
- where N is number of samples in area A.

- Random-dot stereograms with sinusoidal disparity corrugations.
- Corrugation orientations: +/-20 deg (near horizontal).
- Observers identified orientation in 2-IFC psychophysical procedure; phase randomized.
- Spatial frequency of corrugations varied according to adaptive staircase procedure.
- Spatial stereoacuity threshold obtained for wide range of dot densities.
- Duration = 600 msec; disparity amplitude = 16 minarc.

0.1

1

1

10

10

100

100

Spatial Stereoacuity as a function of Dot Density

- Acuity proportional to dot density squared.
- Scale invariance!
- Asymptote at high density.

1

0.1

Spatial Stereoacuity (c/deg)

1

0.1

Dot Density (dots/deg2)

0.1

1

1

10

10

100

100

Spatial Stereoacuity & Nyquist Limit

- Calculated Nyquist frequency for our displays.

1

0.1

Spatial Stereoacuity (c/deg)

1

0.1

Dot Density (dots/deg2)

0.1

1

1

10

10

100

100

Spatial Stereoacuity & Nyquist Limit

Nyquist frequency

- Calculated Nyquist frequency for our displays.
- Acuity approx. equal to Nyquist frequency except at high densities.

1

0.1

Spatial Stereoacuity (c/deg)

1

0.1

Dot Density (dots/deg2)

Types of Random-element Stereograms

Jittered-lattice: dots displaced randomly from regular lattice

Sparse random: dots positioned randomly

Spatial Sampling Limit: Nyquist Frequency

Same acuities with jittered-lattice and sparse random stereograms.

Both follow Nyquist limit at low densities.

Likely Constraints to Spatial Stereoacuity

- Sampling constraints in the stimulus: Stereoacuity measured using random-element stereograms. Discrete sampling limits the highest spatial frequency one can reconstruct.
- Disparity gradient limit: With increasing spatial frequency, the disparity gradient increases. If gradient approaches 1.0, binocular fusion fails.
- Spatial filtering at the front end: Optical quality & retinal sampling limit acuity in other tasks, so probably limits spatial stereoacuity as well.
- The correspondence problem: Manner in which binocular matching occurs presumably affects spatial stereoacuity.

P1

P2

Disparity gradient = disparity / separation

= (aR – aL) / [(aL + aR)/2]

aL

aR

P1

P1 & P2 on cyclopean line of sight

aR = -aL, so separation = 0

P2

Disparity gradient =

Disparity gradient for different directions.

P1

separation

P2(left & right eyes)

horizontal

disparity

- Burt & Julesz (1980): fusion as function of disparity, separation, & direction (tilt).
- Set direction & horizontal disparity and found smallest fusable separation.

P1

separation

direction

P2 (left & right eyes)

disparity

- Fusion breaks when disparity gradient reaches constant value.
- Critical gradient = ~1.
- “Disparity gradient limit”.
- Limit same for all directions.

- Panum’s fusion area (hatched).
- Disparity gradient limit means that fusion area affected by nearby objects (A).
- Forbidden zone is conical (isotropic).

Disparity Gradient & Spatial Frequency

- Disparity gradient for sinusoid is indeterminant.
- But for fixed amplitude, gradient proportional to spatial frequency.
- We may have approached disparity gradient limit.
- Tested by reducing disparity amplitude from 16 to 4.8 minarc.

highest gradient

peak-trough gradient

Disparity (deg)

Horizontal Position (deg)

0.1

1

1

10

10

100

100

Spatial Stereoacuity & Disparity Gradient Limit

- Reducing disparity amplitude increases acuity at high dot densities (where DG is high).
- Lowers acuity slightly at low densities (where DG is low).

1

Spatial Stereoacuity (c/deg)

0.1

1

0.1

Dot Density (dots/deg2)

Likely Constraints to Spatial Stereoacuity

- Spatial filtering at the front end:Optical quality & retinal sampling limit acuity in other tasks, so probably limits spatial stereoacuity as well.

Stereoacuity & Front-end Spatial Filtering

- Low-pass spatial filtering at front-end of visual system determines high-frequency roll-off of luminance CSF.
- Tested similar effects on spatial stereoacuity by:
- Decreasing retinal image size of dots by increasing viewing distance.
- Measuring stereoacuity as a function of retinal eccentricity.
- Measuring stereoacuity as a function of blur.

Stereoacuity & Front-end Spatial Filtering

- Low-pass spatial filtering at front-end of visual system determines high-frequency roll-off of luminance CSF.
- Tested similar effects on spatial stereoacuity by:
- Decreasing retinal image size of dots by increasing viewing distance.
- Measuring stereoacuity as a function of retinal eccentricity.
- Measuring stereoacuity as a function of blur.

M

A

M

S

B

1

.

0

)

g

e

d

/

c

(

y

t

i

u

c

a

0

.

1

o

e

r

e

D

M

V

T

M

G

t

S

l

a

i

t

a

p

S

0.1

0.1

1

1

10

10

100

100

0

.

1

1

.

0

1

0

1

0

0

0

.

1

1

.

0

2

D

o

t

D

e

n

s

i

t

y

(

d

o

t

/

d

e

g

)

Spatial Stereoacuity at Higher Densities

N

y

q

u

i

s

t

f

r

e

q

u

e

n

c

y

- Monocular artifacts at high dot densities.
- Reduce dot size to test upper limit.
- Increase viewing distance from 39-154 cm.
- Acuity still levels off, but at higher value.

1

M

o

d

u

l

a

t

i

o

n

V

i

e

w

i

n

g

A

m

p

l

i

t

u

d

e

D

i

s

t

a

n

c

e

4

.

8

m

i

n

3

9

c

m

4

.

8

m

i

n

1

5

4

c

m

0.1

Spatial Stereoacuity (c/deg)

1

1

.

0

0.1

0

.

1

1

0

1

0

0

Dot Density (dots/deg2)

Stereoacuity & Front-end Spatial Filtering

- Low-pass spatial filtering at front-end of visual system determines high-frequency roll-off of luminance CSF.
- Tested similar effects on spatial stereoacuity by:
- Decreasing retinal image size of dots by increasing viewing distance.
- Measuring stereoacuity as a function of retinal eccentricity.
- Measuring stereoacuity as a function of blur.

Spatial Stereoacuity & Retinal Eccentricity

- Elliptical patch with sinusoidal corrugation.
- Patch centered at one of three eccentricities (subject dependent).
- Eccentricity random; duration = 250 ms.
- Same task as before.
- Again vary dot density.

fixation point

eccentricity

4 deg

8 deg

Spatial Stereoacuity & Retinal Eccentricity

Y

H

H

S

S

G

T

M

G

1

1

.

0

Spatial Stereoacuity (c/deg)

Retinal eccentricity

0 deg

0 deg

0 deg

0.1

0

.

1

6.2

5.2

6.8

12.4

10.4

13.6

1

10

100

1

10

100

0.1

1

10

100

0

.

1

1

.

0

1

0

1

0

0

1

.

0

1

0

1

0

0

1

.

0

1

0

1

0

0

Dot Density (dots/deg2)

- Same acuities at low dot densities; Nyquist.
- Asymptote varies significantly with retinal eccentricity.

Stereoacuity & Front-end Spatial Filtering

- Tested similar effects on spatial stereoacuity by:
- Decreasing retinal image size of dots by increasing viewing distance.
- Measuring stereoacuity as a function of retinal eccentricity.
- Measuring stereoacuity as a function of blur.

- We examined effect of blur on foveal spatial stereoacuity.
- Three levels of blur introduced with diffusion plate:
- no blur (s = 0 deg)
- low blur (s = 0.12)
- high blur (s = 0.25)

- We examined effect of blur on foveal spatial stereoacuity.
- Three levels of blur introduced with diffusion plate:
- no blur (s = 0 deg)
- low blur (s = 0.12)
- high blur (s = 0.25)

- Same acuities at low dot densities; Nyquist.
- Asymptote varies significantly with spatial lowpass filtering.

Likely Constraints to Spatial Stereoacuity

- The correspondence problem:Manner in which binocular matching occurs presumably affects spatial stereoacuity.

Binocular Matching by Correlation

- Binocular matching by correlation: basic and well-studied technique for obtaining depth map from binocular images.
- Computer vision: Kanade & Okutomi (1994); Panton (1978)
- Physiology: Ohzawa, DeAngelis, & Freeman (1990); Cumming & Parker (1997)
- 2. We developed a cross-correlation algorithm for binocular matching & compared its properties to the psychophysics.

Binocular Matching by Correlation

- Compute cross-correlation between eyes’ images.
- Window in left eye’s image moved orthogonal to signal.
- For each position in left eye, window in right eye’s image moved horizontally & cross-correlation computed.

Left eye’s image

Right eye’s image

Binocular Matching by Correlation

- Compute cross-correlation between eyes’ images.
- Window in left eye’s image moved orthogonal to signal.
- For each position in left eye, window in right eye’s image moved horizontally & cross-correlation computed.

Left eye’s image

Right eye’s image

Binocular Matching by Correlation

- Compute cross-correlation between eyes’ images.
- Window in left eye’s image moved orthogonal to signal.
- For each position in left eye, window in right eye’s image moved horizontally & cross-correlation computed.

Left eye’s image

Right eye’s image

X axis

Binocular Matching by Correlation

Plot correlation as a function of position in left eye (red arrow) & relative position in right eye (blue arrow); disparity.

Correlation (gray value) high where images similar & low where dissimilar.

Position in right eye’s image

Position in left eye’s image

1

Spatial Frequency

0.1

0.1

1

10

100

Dot Density

Dot density: 16 dots/deg2

Spatial frequency: 1 c/deg

Window size: 0.2 deg

Disparity waveform evident in output

Effect of Window Size & Dot Density

Correlation window must be large enough to contain sufficient luminance variation to find correct matches

Effect of Window Size & Spatial Frequency

When significant depth variation is present in a region, window must be small enough to respond differentially

- Fix spatial frequency, dot density, & window size.
- Increase disparity amplitude (which also increases disparity gradient: 0.21, 0.59, 1.77).
- As approach 1.0, disparity estimation becomes poor. Images too dissimilar in two eyes.
- Matching by correlation yields piecewise frontal estimates.

- Fix spatial frequency, dot density, & window size.
- Increase disparity amplitude (which also increases disparity gradient: 0.21, 0.59, 1.77).
- As approach 1.0, disparity estimation becomes poor. Images too dissimilar in two eyes.
- Matching by correlation yields piecewise frontal estimates.

Effect of Low-pass Spatial Filtering

- Amount of variation in image dependent on spatial-frequency content.
- If s proportional to w and inversely proportional to , variation constant in cycles/window.
- Algorithm yields similar outputs for these images.
- For each s, there’s a window just large enough to yield good disparity estimates.
- Highest detectable spatial frequency inversely proportional to s.

Effect of Low-pass Spatial Filtering

- Spatial stereoacuity for different amounts of blur.
- s: all filtering elements: dots, optics, diffusion screen.
- Horizontal lines: predictions for asymptotic acuities.
- Asymptotic acuity limited by filtering before binocular combination.

- Correlation algorithm reveals two effects.
- 1. Disparity estimation is poor when there’s insufficient intensity variation within correlation window.
- a.when window too small for presented dot density
- b. when spatial-frequency content is too low.
- c. employ a larger window (or receptive field).

- 2. Disparity estimation is poor when correlation window is too large in direction of maximum disparity gradient.
- a. when window width greater than half cycle of stimulus.
- b. employ a smaller window (or receptive field).

- Sampling constraints in the stimulus: Stereoacuity follows Nyquist limit for all but highest densities. Occurs in peripheral visual field and in fovea with blur.
- Disparity gradient limit: Stereoacuity reduced at high gradients.
- Spatial filtering at the front end: Low-pass filtering before binocular combination determines asymptotic acuity.
- The correspondence problem: Binocular matching by correlation requires sufficient information in correlation window & thereby reduces highest attainable acuity. Visual system measures disparity in piecewise frontal fashion.

depth-varying scene

Disparity estimates are piecewise frontal.

Only one perceived depth per direction.

Download Presentation

Connecting to Server..