Transfer between pose and expression training in face recognition

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.

[1]  Jun Wang,et al.  A 3D facial expression database for facial behavior research , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

[2]  Heinrich H. Bülthoff,et al.  View-Based Recognition of Faces in Man and Machine: Re-Visiting Inter-Extra-Ortho , 2002, Biologically Motivated Computer Vision.

[3]  E. Rolls,et al.  View-invariant representations of familiar objects by neurons in the inferior temporal visual cortex. , 1998, Cerebral cortex.

[4]  A W Ellis,et al.  Routes through the Face Recognition System , 1991, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[5]  Jie Sui,et al.  Transfer between pose and illumination training in face recognition. , 2009, Journal of experimental psychology. Human perception and performance.

[6]  Tzvi Ganel,et al.  Effects of familiarity on the perceptual integrality of the identity and expression of faces: the parallel-route hypothesis revisited. , 2004, Journal of experimental psychology. Human perception and performance.

[7]  Alan Johnston,et al.  Motion as a cue for viewpoint invariance , 2005 .

[8]  S. Edelman,et al.  Orientation dependence in the recognition of familiar and novel views of three-dimensional objects , 1992, Vision Research.

[9]  Vision Research , 1961, Nature.

[10]  V. Bruce,et al.  Recognition of unfamiliar faces , 2000, Trends in Cognitive Sciences.

[11]  M. Linden,et al.  "Facial expressions of emotion influence memory for facial identity in an automatic way": Correction to D'Argembeau and Van der Linden (2007). , 2007 .

[12]  N. Kanwisher,et al.  The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception , 1997, The Journal of Neuroscience.

[13]  M. Van der Linden,et al.  Facial expressions of emotion influence memory for facial identity in an automatic way. , 2007, Emotion.

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

[15]  P. Schyns,et al.  Information and viewpoint dependence in face recognition , 1997, Cognition.

[16]  V. Bruce.  Changing faces: visual and non-visual coding processes in face recognition. , 1982, British journal of psychology.

[17]  Gillian Rhodes,et al.  Expert face coding: Configural and component coding of own-race and other-race faces , 2006, Psychonomic bulletin & review.

[18]  J Kurucz,et al.  Prosopo‐Affective Agnosia as a Symptom of Cerebral Organic Disease , 1979, Journal of the American Geriatrics Society.

[19]  Wendy L. Braje,et al.  Illumination effects in face recognition , 1998, Psychobiology.

[20]  Timothy J. Andrews,et al.  Distinct representations for facial identity and changeable aspects of faces in the human temporal lobe , 2004, NeuroImage.

[21]  Aleix M. Martinez.  Matching expression variant faces , 2003, Vision Research.

[22]  H. Bülthoff,et al.  Face recognition under varying poses: The role of texture and shape , 1996, Vision Research.

[23]  M. Tovée,et al.  Representational capacity of face coding in monkeys. , 1996, Cerebral cortex.