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Creating Objects and Object Categories for Studying Perception and Perceptual Learning

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Visual Perception of 3D Shape: From Local 2D Image Measurements to 3D Surface Properties.

Celine Aubuchon¹, Roland W Fleming^1,2,3

¹1Department of Experimental Psychology, Justus Liebig University Giessen, Giessen, Germany;

Annual Review of Vision Science

|June 2, 2026

Summary

Vision infers 3D shape using cues like shading and texture. These cues create orientation fields in 2D images, which the brain uses for shape estimation, explaining perception successes and failures.

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Area of Science:

Vision science
Computational neuroscience
Image processing

Background:

Inferring 3D surface structure is a fundamental visual function.
Depth cues like shading, texture, and highlights are known but not fully understood.
The brain's extraction of these cues and their relation to 3D shape remains unclear.

Purpose of the Study:

To propose a common mechanism for early 3D shape estimation from visual cues.
To investigate how image distortions of 3D shape cues relate to 3D surface properties.
To explore the role of local image statistics in visual shape perception.

Main Methods:

Analyzing spatial distortions of 3D shape cues (shading, texture) in 2D retinal images.
Characterizing the resulting patterns of local image orientation (orientation fields).
Measuring orientation fields using filter populations and correlating them with 3D shape properties.

Main Results:

Distortions of 3D shape cues create organized orientation fields in 2D images.
These orientation fields are systematically related to specific 3D shape properties.
Orientation fields reliably predict human successes and failures in shape perception.

Conclusions:

Seemingly distinct 3D shape cues may share a common currency in early visual processing.
Orientation fields provide a unified framework for understanding how 2D image statistics relate to 3D shape.
This framework advances our understanding of visual shape perception and its underlying neural mechanisms.