The University of Southampton
University of Southampton Institutional Repository

The structure of three-dimensional object representations in human vision: evidence from whole-part matching

The structure of three-dimensional object representations in human vision: evidence from whole-part matching
The structure of three-dimensional object representations in human vision: evidence from whole-part matching
This article examines how the human visual system represents the shapes of 3-dimensional (3D) objects. One long-standing hypothesis is that object shapes are represented in terms of volumetric component parts and their spatial configuration. This hypothesis is examined in 3 experiments using a whole-part matching paradigm in which participants match object parts to whole novel 3D object shapes. Experiments 1 and 2, consistent with volumetric image segmentation, show that whole-part matching is faster for volumetric component parts than for either open or closed nonvolumetric regions of edge contour. However, the results of Experiment 3 show that an equivalent advantage is found for bounded regions of edge contour that correspond to object surfaces. The results are interpreted in terms of a surface-based model of 3D shape representation, which proposes edge-bounded 2-dimensional polygons as basic primitives of surface shape. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
668–684
Leek, E. Charles
6f63c405-e28f-4f8c-8ead-3b0a79c7dc88
Reppa, Irene
82356dae-80dc-4691-94e7-b10f42737a58
Arguin, Martin
5afe9a17-4709-4715-a6f9-7eb4b3983f54
Leek, E. Charles
6f63c405-e28f-4f8c-8ead-3b0a79c7dc88
Reppa, Irene
82356dae-80dc-4691-94e7-b10f42737a58
Arguin, Martin
5afe9a17-4709-4715-a6f9-7eb4b3983f54

Leek, E. Charles, Reppa, Irene and Arguin, Martin (2005) The structure of three-dimensional object representations in human vision: evidence from whole-part matching. Journal of Experimental Psychology: Human Perception and Performance, 31 (4), 668–684. (doi:10.1037/0096-1523.31.4.668).

Record type: Article

Abstract

This article examines how the human visual system represents the shapes of 3-dimensional (3D) objects. One long-standing hypothesis is that object shapes are represented in terms of volumetric component parts and their spatial configuration. This hypothesis is examined in 3 experiments using a whole-part matching paradigm in which participants match object parts to whole novel 3D object shapes. Experiments 1 and 2, consistent with volumetric image segmentation, show that whole-part matching is faster for volumetric component parts than for either open or closed nonvolumetric regions of edge contour. However, the results of Experiment 3 show that an equivalent advantage is found for bounded regions of edge contour that correspond to object surfaces. The results are interpreted in terms of a surface-based model of 3D shape representation, which proposes edge-bounded 2-dimensional polygons as basic primitives of surface shape. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

This record has no associated files available for download.

More information

Published date: 1 August 2005

Identifiers

Local EPrints ID: 493559
URI: http://eprints.soton.ac.uk/id/eprint/493559
PURE UUID: ab693cd9-2c8f-4a03-8624-f3c3b489deff
ORCID for E. Charles Leek: ORCID iD orcid.org/0000-0001-9258-7504

Catalogue record

Date deposited: 06 Sep 2024 16:33
Last modified: 07 Sep 2024 02:11

Export record

Altmetrics

Contributors

Author: E. Charles Leek ORCID iD
Author: Irene Reppa
Author: Martin Arguin

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×