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Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
Published on: December 4, 2013
Limits of stereopsis explained by local cross-correlation
Heather R Filippini1, Martin S Banks
1UCSF and UCB Joint Graduate Group in Bioengineering, University of California at Berkeley, Berkeley, CA, USA. heather.filippini@gmail.com
Journal of Vision
|March 11, 2009
Summary
Human depth perception limits, like the disparity-gradient limit and stereoresolution, are likely byproducts of using cross-correlation to estimate disparity. This finding holds true for both human vision and a computational model.
Area of Science:
- Vision Science
- Computational Neuroscience
- Psychophysics
Background:
- Human stereopsis is constrained by the disparity-gradient limit and stereoresolution.
- These limits affect the perception of depth based on disparity variations.
Purpose of the Study:
- To investigate if human stereopsis limits arise from local cross-correlation image processing.
- To compare human performance with a computational model based on cross-correlation.
Main Methods:
- Developed a local cross-correlation model with biologically plausible features.
- Conducted psychophysical experiments comparing model and human performance on depth perception tasks.
- Analyzed the impact of stimulus parameters like blur and patch size on performance.
Main Results:
- The computational model exhibited similar disparity-gradient and stereoresolution limits as humans.
- Model and human performance were similarly affected by stimulus variations.
- Identified the smallest neural mechanism for human disparity estimation as 3-6 arcmin.
Conclusions:
- The disparity-gradient limit and stereoresolution are likely byproducts of local cross-correlation disparity estimation.
- Local cross-correlation provides a viable computational framework for understanding human stereopsis limits.
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