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Image Dependency in the Recognition of Newly Learnt Faces

Longmore, Christopher A. et al.

The quarterly journal of experimental psychology: QJEP. Volume 70:Issue 5 (2017); pp 863-873 -- SAGE

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  • Title:
    Image Dependency in the Recognition of Newly Learnt Faces
  • Author: Longmore, Christopher A.;
    Santos, Isabel M.;
    Silva, Carlos F.;
    Hall, Abi;
    Faloyin, Dipo;
    Little, Emily
  • Found In: The quarterly journal of experimental psychology: QJEP. Volume 70:Issue 5 (2017); pp 863-873
  • Journal Title: The quarterly journal of experimental psychology: QJEP
  • Subjects: Psychology, Comparative--Periodicals; Psychology, Experimental--Periodicals; Psychophysiology--Periodicals; Face recognition--Image-dependency--Pictorial coding--Structural coding; Dewey: 150.72405
  • Rights: legaldeposit
  • Publication Details: SAGE
  • Abstract:

    Research investigating the effect of lighting and viewpoint changes on unfamiliar and newly learnt faces has revealed that such recognition is highly image dependent and that changes in either of these leads to poor recognition accuracy. Three experiments are reported to extend these findings by examining the effect of apparent age on the recognition of newly learnt faces. Experiment 1 investigated the ability to generalize to novel ages of a face after learning a single image. It was found that recognition was best for the learnt image with performance falling the greater the dissimilarity between the study and test images. Experiments 2 and 3 examined whether learning two images aids subsequent recognition of a novel image. The results indicated that interpolation between two studied images (Experiment 2) provided some additional benefit over learning a single view, but that this did not extend to extrapolation (Experiment 3). The results from all studies suggest that recognition was driven primarily by pictorial codes and that the recognition of faces learnt from a limited number of sources operates on stored images of faces as opposed to more abstract, structural, representations.


  • Identifier: System Number: LDEAvdc_100071062725.0x000001; Journal ISSN: 1747-0218; 10.1080/17470218.2016.1236825
  • Publication Date: 2017
  • Physical Description: Electronic
  • Shelfmark(s): ELD Digital store

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