Literature DB >> 27708127

Creating Body Shapes From Verbal Descriptions by Linking Similarity Spaces.

Matthew Q Hill1, Stephan Streuber2, Carina A Hahn3, Michael J Black2, Alice J O'Toole3.   

Abstract

Brief verbal descriptions of people's bodies (e.g., "curvy," "long-legged") can elicit vivid mental images. The ease with which these mental images are created belies the complexity of three-dimensional body shapes. We explored the relationship between body shapes and body descriptions and showed that a small number of words can be used to generate categorically accurate representations of three-dimensional bodies. The dimensions of body-shape variation that emerged in a language-based similarity space were related to major dimensions of variation computed directly from three-dimensional laser scans of 2,094 bodies. This relationship allowed us to generate three-dimensional models of people in the shape space using only their coordinates on analogous dimensions in the language-based description space. Human descriptions of photographed bodies and their corresponding models matched closely. The natural mapping between the spaces illustrates the role of language as a concise code for body shape that captures perceptually salient global and local body features.
© The Author(s) 2016.

Entities:  

Keywords:  face perception; human body; open data; visual perception

Mesh:

Year:  2016        PMID: 27708127     DOI: 10.1177/0956797616663878

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  2 in total

1.  Independent contributions of the face, body, and gait to the representation of the whole person.

Authors:  Noa Simhi; Galit Yovel
Journal:  Atten Percept Psychophys       Date:  2021-01       Impact factor: 2.199

2.  Face recognition ability does not predict person identification performance: using individual data in the interpretation of group results.

Authors:  Eilidh Noyes; Matthew Q Hill; Alice J O'Toole
Journal:  Cogn Res Princ Implic       Date:  2018-06-27
  2 in total

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