The DOI matches its Crossref record.
The Metric of Binocular Visual Space*
Abstract
The aim of this paper is to show that the so-called visual space has a uniquely determined non-Euclidean metric, or psychometric distance function, the numerical parameters of which depend on the individual observer. Certain well-known phenomena of space perception, such as the horopter, the alley experiment and size constancy, are explained on the basis of the distance function. Methods of measuring the personal parameters of the metric are developed, and applications of the theory to the field of binocular instruments and pictorial representation of space are suggested.
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Citations
Cited by
Representation of Structure in Similarity Data: Problems and Prospects
Shepard, R. N. (1974) · Psychometrika · doi:10.1007/bf02291665 · Cited by 484
Binocular distance perception.
Foley, J. M. (1980) · Psychological Review · doi:10.1037//0033-295x.87.5.411 · Cited by 419
Why Does Space Feel the Way it Does? Towards a Principled Account of Spatial Experience
Haun, A., & Tononi, G. (2019) · Entropy · doi:10.3390/e21121160 · Cited by 143
Large Systematic Deviations in the Haptic Perception of Parallelity
Kappers, A. M. L. (1999) · Perception · doi:10.1068/p281001 · Cited by 107
Metadata
- Authors
- Luneburg, R. K.
- Venue
- Journal of the Optical Society of America
- Publisher
- Optica Publishing Group
- Published
- 1950-10-01
- Volume
- 40
- Issue
- 10
- Pages
- 627
- ISSN
- 0030-3941 (ISSN-L)
- OpenAlex
- W1974587377
- Cited by
- 212
- References
- 0
- FWCI
- 8.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Metric of Binocular Visual Space*. https://app.cochat.ai/papers/10.1364/josa.40.000627
- The paper
- Luneburg, R. K. (1950). The Metric of Binocular Visual Space*. Journal of the Optical Society of America. https://doi.org/10.1364/josa.40.000627
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
