Matching Person Identity from Facial Line Drawings

The processing of facial line drawings was investigated in either simultaneous or sequential matching trials with either the same or different viewpoint, showing pictures of faces either in the same modes (both photographs or line drawings) or different modes (one in each mode). Line drawings were particularly difficult to match in memory rather than under perceptual conditions, and line drawings did not allow the creation of efficient structural codes. These deficits of line representations underline the assumption that the face-processing system is inflexible when it is confronted with edge-based material.

[1]  V. Bruce,et al.  Recognizing objects and faces , 1994 .

[2]  T. Valentine Upside-down faces: a review of the effect of inversion upon face recognition. , 1988, British journal of psychology.

[3]  M. Farah,et al.  What is "special" about face perception? , 1998, Psychological review.

[4]  H. Leder Line Drawings of Faces Reduce Configural Processing , 1996, Perception.

[5]  A. Young,et al.  Understanding face recognition. , 1986, British journal of psychology.

[6]  Avi Chaudhuri,et al.  Are There Qualitative Differences between Face Processing in Photographic Positive and Negative? , 1998, Perception.

[7]  I. Biederman Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[8]  V. Bruce,et al.  The importance of ‘mass’ in line drawings of faces , 1992 .

[9]  Refractor Vision , 2000, The Lancet.

[10]  H. Ellis,et al.  Face recognition accuracy as a function of mode of representation. , 1978 .

[11]  J. G. Snodgrass,et al.  Pragmatics of measuring recognition memory: applications to dementia and amnesia. , 1988, Journal of experimental psychology. General.

[12]  G. Rhodes,et al.  Identification and ratings of caricatures: Implications for mental representations of faces , 1987, Cognitive Psychology.

[13]  T. Valentine The Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology a Unified Account of the Effects of Distinctiveness, Inversion, and Race in Face Recognition , 2022 .