Literature DB >> 19056417

Transfer between pose and expression training in face recognition.

Wenfeng Chen1, Chang Hong Liu.   

Abstract

Prior research has shown that recognition of unfamiliar faces is susceptible to image variations due to pose and expression changes. However, little is known about how these variations on a new face are learnt and handled. We aimed to investigate whether exposures to one type of variation facilitate recognition in the untrained variation. In Experiment 1, faces were trained in multiple or single pose but were tested with a new expression. In Experiment 2, faces were trained in multiple or single expression but were tested in a new pose. We found that higher level of exposure to pose information facilitated recognition of the trained face in a new expression. However, multiple-expression training failed to transfer to a new pose. The findings suggest that generalisation of pose training may be extended to different types of variation whereas generalisation of expression training is largely confined within the trained type of variation.

Mesh:

Year:  2008        PMID: 19056417     DOI: 10.1016/j.visres.2008.11.003

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  7 in total

1.  Matching faces with emotional expressions.

Authors:  Wenfeng Chen; Karen Lander; Chang Hong Liu
Journal:  Front Psychol       Date:  2011-08-30

2.  Facial expression at retrieval affects recognition of facial identity.

Authors:  Wenfeng Chen; Chang Hong Liu; Huiyun Li; Ke Tong; Naixin Ren; Xiaolan Fu
Journal:  Front Psychol       Date:  2015-06-09

3.  Effects of exposure to facial expression variation in face learning and recognition.

Authors:  Chang Hong Liu; Wenfeng Chen; James Ward
Journal:  Psychol Res       Date:  2014-11-15

4.  Remembering faces with emotional expressions.

Authors:  Chang Hong Liu; Wenfeng Chen; James Ward
Journal:  Front Psychol       Date:  2014-12-10

5.  Dynamic Emotional Faces Generalise Better to a New Expression but not to a New View.

Authors:  Chang Hong Liu; Wenfeng Chen; James Ward; Nozomi Takahashi
Journal:  Sci Rep       Date:  2016-08-08       Impact factor: 4.379

6.  Use-inspired basic research on individual differences in face identification: implications for criminal investigation and security.

Authors:  Karen Lander; Vicki Bruce; Markus Bindemann
Journal:  Cogn Res Princ Implic       Date:  2018-06-27

7.  A Bayesian Scene-Prior-Based Deep Network Model for Face Verification.

Authors:  Huafeng Wang; Wenfeng Song; Wanquan Liu; Ning Song; Yuehai Wang; Haixia Pan
Journal:  Sensors (Basel)       Date:  2018-06-11       Impact factor: 3.576

  7 in total

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