» Articles » PMID: 19120414

Developmental Changes in Visual Object Recognition Between 18 and 24 Months of Age

Overview
Journal Dev Sci
Specialty Psychology
Date 2009 Jan 6
PMID 19120414
Citations 33
Authors
Affiliations
Soon will be listed here.
Abstract

Two experiments examined developmental changes in children's visual recognition of common objects during the period of 18 to 24 months. Experiment 1 examined children's ability to recognize common category instances that presented three different kinds of information: (1) richly detailed and prototypical instances that presented both local and global shape information, color, textural and featural information, (2) the same rich and prototypical shapes but no color, texture or surface featural information, or (3) that presented only abstract and global representations of object shape in terms of geometric volumes. Significant developmental differences were observed only for the abstract shape representations in terms of geometric volumes, the kind of shape representation that has been hypothesized to underlie mature object recognition. Further, these differences were strongly linked in individual children to the number of object names in their productive vocabulary. Experiment 2 replicated these results and showed further that the less advanced children's object recognition was based on the piecemeal use of individual features and parts, rather than overall shape. The results provide further evidence for significant and rapid developmental changes in object recognition during the same period children first learn object names. The implications of the results for theories of visual object recognition, the relation of object recognition to category learning, and underlying developmental processes are discussed.

Citing Articles

Contrastive learning explains the emergence and function of visual category-selective regions.

Prince J, Alvarez G, Konkle T Sci Adv. 2024; 10(39):eadl1776.

PMID: 39321304 PMC: 11423896. DOI: 10.1126/sciadv.adl1776.


Parallel developmental changes in children's production and recognition of line drawings of visual concepts.

Long B, Fan J, Huey H, Chai Z, Frank M Nat Commun. 2024; 15(1):1191.

PMID: 38331850 PMC: 10853520. DOI: 10.1038/s41467-023-44529-9.


A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations.

Farahat A, Effenberger F, Vinck M Neural Netw. 2023; 167:400-414.

PMID: 37673027 PMC: 7616855. DOI: 10.1016/j.neunet.2023.08.021.


The developmental trajectory of object recognition robustness: Children are like small adults but unlike big deep neural networks.

Huber L, Geirhos R, Wichmann F J Vis. 2023; 23(7):4.

PMID: 37410494 PMC: 10337805. DOI: 10.1167/jov.23.7.4.


One-shot generalization in humans revealed through a drawing task.

Tiedemann H, Morgenstern Y, Schmidt F, Fleming R Elife. 2022; 11.

PMID: 35536739 PMC: 9090327. DOI: 10.7554/eLife.75485.


References
1.
Gershkoff-Stowe L, Smith L . Shape and the first hundred nouns. Child Dev. 2004; 75(4):1098-114. DOI: 10.1111/j.1467-8624.2004.00728.x. View

2.
Biederman I, Kalocsai P . Neurocomputational bases of object and face recognition. Philos Trans R Soc Lond B Biol Sci. 1997; 352(1358):1203-19. PMC: 1692012. DOI: 10.1098/rstb.1997.0103. View

3.
Edelman S . Similarity, connectionism, and the problem of representation in vision. Neural Comput. 1997; 9(4):701-20. DOI: 10.1162/neco.1997.9.4.701. View

4.
Biederman I . Recognition-by-components: a theory of human image understanding. Psychol Rev. 1987; 94(2):115-147. DOI: 10.1037/0033-295X.94.2.115. View

5.
Ullman S, Bart E . Recognition invariance obtained by extended and invariant features. Neural Netw. 2004; 17(5-6):833-48. DOI: 10.1016/j.neunet.2004.01.006. View