Understanding Human Object Vision: A Picture Is Worth a Thousand Representations

Objects are the core meaningful elements in our visual environment. Classic theories of object vision focus upon object recognition and are elegant and simple. Some of their proposals still stand, yet the simplicity is gone. Recent evolutions in behavioral paradigms, neuroscientific methods, and com...

Full description

Saved in:
Bibliographic Details
Published in:Annual review of psychology 2023-01, Vol.74 (1), p.113-135
Main Authors: Bracci, Stefania, Op de Beeck, Hans P
Format: Article
Language:English
Subjects:
Acknowledgment
Behavior
Behavioral psychology
Biological Evolution
Cognition & reasoning
DCNNs
deep convolutional neural networks
Humans
Neural Networks, Computer
object recognition
object representations
Pattern Recognition, Visual
Simplicity
Vision, Ocular
visual cortex
Visual Perception
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Objects are the core meaningful elements in our visual environment. Classic theories of object vision focus upon object recognition and are elegant and simple. Some of their proposals still stand, yet the simplicity is gone. Recent evolutions in behavioral paradigms, neuroscientific methods, and computational modeling have allowed vision scientists to uncover the complexity of the multidimensional representational space that underlies object vision. We review these findings and propose that the key to understanding this complexity is to relate object vision to the full repertoire of behavioral goals that underlie human behavior, running far beyond object recognition. There might be no such thing as core object recognition, and if it exists, then its importance is more limited than traditionally thought.
ISSN:0066-4308
1545-2085
DOI:10.1146/annurev-psych-032720-041031