Evidence map›Paper›PMID 31735906›Full record

ArticleVision (Basel, Switzerland)2018

A Riemannian Geometry Theory of Three-Dimensional Binocular Visual Perception.

Peter D Neilson, Megan D Neilson, Robin T Bye

Abstract read
In one paragraph

Article in Vision (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Peter D NeilsonSchool of Electrical Engineering and Telecommunications, University of New South Wales, Sydney NSW 2052, Australia.ORCID 0000-0002-4136-3233
Megan D NeilsonIndependent Researcher, late School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney NSW 2052, Australia.ORCID 0000-0001-8396-956X
Robin T ByeCyber-Physical Systems Laboratory, Department of ICT and Natural Sciences, NTNU-Norwegian University of Science and Technology, NO-6025 Ålesund, Norway.ORCID 0000-0002-6063-1264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a Riemannian geometry theory to examine the systematically warped geometry of perceived visual space attributable to the size-distance relationship of retinal images associated with the optics of the human eye. Starting with the notion of a vector field of retinal image features over cortical hypercolumns endowed with a metric compatible with that size-distance relationship, we use Riemannian geometry to construct a place-encoded theory of spatial representation within the human visual system. The theory draws on the concepts of geodesic spray fields, covariant derivatives, geodesics, Christoffel symbols, curvature tensors, vector bundles and fibre bundles to produce a neurally-feasible geometric theory of visuospatial memory. The characteristics of perceived 3D visual space are examined by means of a series of simulations around the egocentre. Perceptions of size and shape are elucidated by the geometry as are the removal of occlusions and the generation of 3D images of objects. Predictions of the theory are compared with experimental observations in the literature. We hold that the variety of reported geometries is accounted for by cognitive perturbations of the invariant physically-determined geometry derived here. When combined with previous description of the Riemannian geometry of human movement this work promises to account for the non-linear dynamical invertible visual-proprioceptive maps and selection of task-compatible movement synergies required for the planning and execution of visuomotor tasks.

Indexed as

binocular visioncomputational modelocclusionsplace encodingRiemannian geometryshape perceptionsize perceptionstereopsisvisual space

Identifiers

PMID31735906
PMCPMC6836267

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.