Development of Differential Sensitivity for Shape Changes Resulting from Linear and Nonlinear Planar Transformations
Open Access
- 1 January 2011
- journal article
- Published by SAGE Publications in I-Perception
- Vol. 2 (2) , 121-136
- https://doi.org/10.1068/i0407
Abstract
A shape bias for extending names to objects that look visually similar has been commonly accepted but it is hard to define which kind of shape dissimilarities are diagnostic for the identity of an object. Here, we present a transformational approach to describe shape differences that can incorporate many significant shape features. We introduce two kinds of transformations: one kind concerns linear transformations of the image plane (affine transformations), generally limiting shape variations within the borders of basic-level categories; the other kind concerns nonlinear continuous transformations of the image plane (topological transformations), allowing all kinds of shape variation crossing and not crossing the borders of basic-level categories. We administered stimulus pairs differing in these shape transformations to children of 3 years to 7 years old in a delayed match-to-sample task. With increasing age, especially between 5 years and 6 years, children became more sensitive to the topological deformations that are relevant for between-category distinctions, indicating that acquired categorical knowledge in early years induces perceptual learning of the relevant generic shape differences between categories.Keywords
This publication has 53 references indexed in Scilit:
- Infants and Toddlers Show Enlarged Visual Sensitivity to Nonaccidental Compared with Metric Shape ChangesI-Perception, 2010
- Do Early Nouns Refer to Kinds or Distinct Shapes?Psychological Science, 2009
- Simplicity and generalization: Short-cutting abstraction in children’s object categorizationsCognition, 2008
- Object Shape, Object Function, and Object NameJournal of Memory and Language, 1998
- Concept formation in infancyCognitive Development, 1993
- Computational methods for local regressionStatistics and Computing, 1991
- Locally Weighted Regression: An Approach to Regression Analysis by Local FittingJournal of the American Statistical Association, 1988
- Nested structures of control: An intuitive viewComputer Vision, Graphics, and Image Processing, 1987
- Robust Locally Weighted Regression and Smoothing ScatterplotsJournal of the American Statistical Association, 1979
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974