Evidence map›Paper›PMID 40638088›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Orientation fields predict human perception of 3D shape from shading.

Celine Aubuchon, Romain Vergne, Steven A Cholewiak, Benjamin Kunsberg, Daniel Holtmann-Rice, Steven W Zucker, Roland W Fleming

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Orientation fields predict human perception of 3D shape from shading.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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

7 authors.

Celine Aubuchon *Department of Experimental Psychology, Justus Liebig University Giessen, Giessen 35390, Germany.ORCID 0000-0002-6000-1617
Romain Vergne *Department of Experimental Psychology, Justus Liebig University Giessen, Giessen 35390, Germany.
Steven A CholewiakDepartment of Experimental Psychology, Justus Liebig University Giessen, Giessen 35390, Germany.ORCID 0000-0003-0605-4395
Benjamin KunsbergDepartment of Computer Science, Yale University, New Haven, CT 06511.
Daniel Holtmann-RiceDepartment of Computer Science, Yale University, New Haven, CT 06511.
Steven W ZuckerDepartment of Computer Science, Yale University, New Haven, CT 06511.ORCID 0000-0002-2205-6895
Roland W FlemingDepartment of Experimental Psychology, Justus Liebig University Giessen, Giessen 35390, Germany.ORCID 0000-0001-5033-5069

Funding

Elucidating Novel Features of Visual Processing and Physiological Connectivity from Retina to Primary Visual CortexR01EY031059 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Gregory Darin Field, Alexander C Huk · 2020 to 2026
$4.7M
Deutsche Forschungsgemeinschaft (DFG) 222641018-SFB/TRR 135 TP C1EC | European Research Council (ERC) Advanced Grant "STUFF" ERC-2022-AdG-101098225Hessisches Ministerium für Wissenschaft und Kunst (Hessian Ministry for Science and Art) Cluster Project "The Adaptive Mind"HHS | NIH (NIH) 1R01EY031059NEI NIH HHS R01 EY031059NSF (NSF) 1822598
6 · The paper itself

Abstract

How the brain recovers the three-dimensional structure of surfaces and objects from 2D retinal images remains mysterious. Shading patterns provide one of the most powerful-yet least understood-visual depth cues. Most theories assume the brain infers surface normals from luminance values. However, this seems unlikely as visual neurons are broadly insensitive to luminance. To identify alternative cues, we measured responses of model orientation-selective cell populations to images of shaded objects. We found a surprising statistical relationship between image orientations and surface curvature properties, suggesting a way to estimate shape from shading. We find that the orientation-based cues not only predict striking illusions of shape perception when lighting varies, but also the impressive robustness of shape perception when large image modifications are introduced to directly pit luminance and image orientation cues against one another. The findings resolve the longstanding question of which image measurements drive shape from shading perception.

Indexed as

Depth PerceptionForm PerceptionOrientationOrientation, SpatialCuesHumansPhotic Stimulationdepth perceptionshadingshapesurfacesvisual perception

Identifiers

PMID40638088
PMCPMC12280972

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.