Abstract

In recognising a face the visual system shows a remarkable ability in overcoming changes in viewpoint. However, the mechanisms involved in solving this complex computational problem, particularly in terms of information processing, have not been clearly defined. Considerable evidence indicates that face recognition involves both featural and configural processing. In this study we examined the contribution of featural information across viewpoint change. Participants were familiarised with unknown faces and were later tested for recognition in complete or part-face format, across changes in view. A striking effect of viewpoint resulting in a reduction in profile recognition compared with the three-quarter and frontal views was found. However, a complete-face over part-face advantage independent of transformation was demonstrated across all views. A hierarchy of feature salience was also demonstrated. Findings are discussed in terms of the problem of object constancy as it applies to faces.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.