Literature DB >> 33335146

The role of semantics in the perceptual organization of shape.

Filipp Schmidt1,2, Jasmin Kleis3, Yaniv Morgenstern3, Roland W Fleming3,4.   

Abstract

Establishing correspondence between objects is fundamental for object constancy, similarity perception and identifying transformations. Previous studies measured point-to-point correspondence between objects before and after rigid and non-rigid shape transformations. However, we can also identify 'similar parts' on extremely different objects, such as butterflies and owls or lizards and whales. We measured point-to-point correspondence between such object pairs. In each trial, a dot was placed on the contour of one object, and participants had to place a dot on 'the corresponding location' of the other object. Responses show correspondence is established based on similarities between semantic parts (such as head, wings, or legs). We then measured correspondence between ambiguous objects with different labels (e.g., between 'duck' and 'rabbit' interpretations of the classic ambiguous figure). Despite identical geometries, correspondences were different across the interpretations, based on semantics (e.g., matching 'Head' to 'Head', 'Tail' to 'Tail'). We present a zero-parameter model based on labeled semantic part data (obtained from a different group of participants) that well explains our data and outperforms an alternative model based on contour curvature. This demonstrates how we establish correspondence between very different objects by evaluating similarity between semantic parts, combining perceptual organization and cognitive processes.

Entities:  

Year:  2020        PMID: 33335146     DOI: 10.1038/s41598-020-79072-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  27 in total

1.  Similarity as transformation.

Authors:  Ulrike Hahn; Nick Chater; Lucy B Richardson
Journal:  Cognition       Date:  2003-02

2.  They call it like they see it: spontaneous naming and attention to shape.

Authors:  Larissa K Samuelson; Linda B Smith
Journal:  Dev Sci       Date:  2005-03

3.  One-shot learning of object categories.

Authors:  Li Fei-Fei; Rob Fergus; Pietro Perona
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2006-04       Impact factor: 6.226

4.  Transformation direction influences shape-similarity judgments.

Authors:  Ulrike Hahn; James Close; Markus Graf
Journal:  Psychol Sci       Date:  2009-02-26

5.  Perception of shape and space across rigid transformations.

Authors:  Filipp Schmidt; Patrick Spröte; Roland W Fleming
Journal:  Vision Res       Date:  2015-04-30       Impact factor: 1.886

6.  One-shot categorization of novel object classes in humans.

Authors:  Yaniv Morgenstern; Filipp Schmidt; Roland W Fleming
Journal:  Vision Res       Date:  2019-11-07       Impact factor: 1.886

7.  Visual perception of complex shape-transforming processes.

Authors:  Filipp Schmidt; Roland W Fleming
Journal:  Cogn Psychol       Date:  2016-09-12       Impact factor: 3.468

8.  Recognition-by-components: a theory of human image understanding.

Authors:  Irving Biederman
Journal:  Psychol Rev       Date:  1987-04       Impact factor: 8.934

9.  Human-level concept learning through probabilistic program induction.

Authors:  Brenden M Lake; Ruslan Salakhutdinov; Joshua B Tenenbaum
Journal:  Science       Date:  2015-12-11       Impact factor: 47.728

10.  Deep Neural Networks as a Computational Model for Human Shape Sensitivity.

Authors:  Jonas Kubilius; Stefania Bracci; Hans P Op de Beeck
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

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  1 in total

1.  Forgetting Details in Visual Long-Term Memory: Decay or Interference?

Authors:  Laura García-Rueda; Claudia Poch; Pablo Campo
Journal:  Front Behav Neurosci       Date:  2022-07-19       Impact factor: 3.617

  1 in total

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