Stimulus type, level of categorization, and spatial-frequencies utilization: implications for perceptual categorization hierarchies.

The type of visual information needed for categorizing faces and nonface objects was investigated by manipulating spatial frequency scales available in the image during a category verification task addressing basic and subordinate levels. Spatial filtering had opposite effects on faces and airplanes that were modulated by categorization level. The absence of low frequencies impaired the categorization of faces similarly at both levels, whereas the absence of high frequencies was inconsequential throughout. In contrast, basic-level categorization of airplanes was equally impaired by the absence of either low or high frequencies, whereas at the subordinate level, the absence of high frequencies had more deleterious effects. These data suggest that categorization of faces either at the basic level or by race is based primarily on their global shape but also on the configuration of details. By contrast, basic-level categorization of objects is based on their global shape, whereas category-specific diagnostic details determine the information needed for their subordinate categorization. The authors conclude that the entry point in visual recognition is flexible and determined conjointly by the stimulus category and the level of categorization, which reflects the observer's recognition goal.

[1]  S. Bentin,et al.  Own- and other-race categorization of faces by race, gender, and age , 2008, Psychonomic bulletin & review.

[2]  James W. Tanaka,et al.  The preferred level of face categorization depends on discriminability , 2008, Psychonomic bulletin & review.

[3]  Isabel Gauthier,et al.  Holistic processing of faces: perceptual and decisional components. , 2008, Journal of experimental psychology. Learning, memory, and cognition.

[4]  Isabel Gauthier,et al.  Should we reject the expertise hypothesis? , 2007, Cognition.

[5]  Paul T. Sowden,et al.  Channel surfing in the visual brain , 2006, Trends in Cognitive Sciences.

[6]  James W. Tanaka,et al.  A Reevaluation of the Electrophysiological Correlates of Expert Object Processing , 2006, Journal of Cognitive Neuroscience.

[7]  Lynn C. Robertson,et al.  Processing the Trees and the Forest during Initial Stages of Face Perception: Electrophysiological Evidence , 2006, Journal of Cognitive Neuroscience.

[8]  Bruno Rossion,et al.  Faces are "spatial"--holistic face perception is supported by low spatial frequencies. , 2006, Journal of experimental psychology. Human perception and performance.

[9]  Francesc S. Beltran,et al.  Face perception: An integrative review of the role of spatial frequencies , 2006, Psychological research.

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

[11]  Cindy M. Bukach,et al.  Beyond faces and modularity: the power of an expertise framework , 2006, Trends in Cognitive Sciences.

[12]  Charles A. Collin,et al.  Subordinate-level categorization relies on high spatial frequencies to a greater degree than basic-level categorization , 2005, Perception & psychophysics.

[13]  Q. Vuong,et al.  The Respective Role of Low and High Spatial Frequencies in Supporting Configural and Featural Processing of Faces , 2005, Perception.

[14]  Nikolaus F Troje,et al.  Face recognition is affected by similarity in spatial frequency range to a greater degree than within-category object recognition. , 2004, Journal of experimental psychology. Human perception and performance.

[15]  Markus Kiefer,et al.  A holistic account of the own-race effect in face recognition: evidence from a cross-cultural study , 2004, Cognition.

[16]  Manila Vannucci,et al.  Hemispheric asymmetry for spatially filtered stimuli belonging to different semantic categories. , 2004, Brain research. Cognitive brain research.

[17]  Bruno Rossion,et al.  Same-race faces are perceived more holistically than other-race faces , 2004 .

[18]  B. Rossion,et al.  Event-related potentials and time course of the ‘other-race’ face classification advantage , 2004, Neuroreport.

[19]  Erin M. Harley,et al.  How different spatial-frequency components contribute to visual information acquisition. , 2004, Journal of experimental psychology. Human perception and performance.

[20]  J. Faubert,et al.  Configural face encoding and spatial frequency information , 2003, Perception & psychophysics.

[21]  I. Gauthier,et al.  Spatial scale contribution to early visual differences between face and object processing. , 2003, Brain research. Cognitive brain research.

[22]  P. Schyns,et al.  Show Me the Features! Understanding Recognition From the Use of Visual Information , 2002, Psychological science.

[23]  D. Maurer,et al.  The many faces of configural processing , 2002, Trends in Cognitive Sciences.

[24]  M. Vannucci,et al.  Identification of spatially filtered stimuli as function of the semantic category. , 2001, Brain research. Cognitive brain research.

[25]  J. Tanaka The entry point of face recognition: evidence for face expertise. , 2001, Journal of experimental psychology. General.

[26]  P. Schyns,et al.  Usage of spatial scales for the categorization of faces, objects, and scenes , 2001, Psychonomic bulletin & review.

[27]  A. Chrysochoos,et al.  Categorical perception of facial gender information: Behavioural evidence and the face-space metaphor , 2001 .

[28]  M. Tarr,et al.  FFA: a flexible fusiform area for subordinate-level visual processing automatized by expertise , 2000, Nature Neuroscience.

[29]  Isabel Gauthier,et al.  What constrains the organization of the ventral temporal cortex? , 2000, Trends in Cognitive Sciences.

[30]  P. Bennett,et al.  Identification of band-pass filtered letters and faces by human and ideal observers , 1999, Vision Research.

[31]  A. Oliva,et al.  Dr. Angry and Mr. Smile: when categorization flexibly modifies the perception of faces in rapid visual presentations , 1999, Cognition.

[32]  Philippe G Schyns,et al.  Diagnostic recognition: task constraints, object information, and their interactions , 1998, Cognition.

[33]  P. Mcmullen,et al.  Effects of orientation on the identification of rotated objects depend on the level of identity. , 1998, Journal of experimental psychology. Human perception and performance.

[34]  James W. Tanaka,et al.  Expertise in object and face recognition , 1997 .

[35]  Kathy E. Johnson,et al.  Effects of varying levels of expertise on the basic level of categorization. , 1997, Journal of experimental psychology. General.

[36]  I Biederman,et al.  Neurocomputational bases of object and face recognition. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[37]  J R Lishman,et al.  Role of coarse and fine spatial information in face and object processing. , 1996, Journal of experimental psychology. Human perception and performance.

[38]  D. Levin CLASSIFYING FACES BY RACE : THE STRUCTURE OF FACE CATEGORIES , 1996 .

[39]  T. Valentine,et al.  Towards an Exemplar Model of Face Processing: The Effects of Race and Distinctiveness , 1992, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[40]  J. Tanaka,et al.  Object categories and expertise: Is the basic level in the eye of the beholder? , 1991, Cognitive Psychology.

[41]  G. Rhodes,et al.  Expertise and configural coding in face recognition. , 1989, British journal of psychology.

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

[43]  B. Tversky,et al.  Journal of Experimental Psychology : General VOL . 113 , No . 2 JUNE 1984 Objects , Parts , and Categories , 2005 .

[44]  Stephen M. Kosslyn,et al.  Pictures and names: Making the connection , 1984, Cognitive Psychology.

[45]  Wayne D. Gray,et al.  Basic objects in natural categories , 1976, Cognitive Psychology.

[46]  Shaun P. Collin,et al.  Philosophical Transactions of the Royal Society of London: Biological Sciences , 2000 .

[47]  I. Biederman,et al.  Subordinate-level object classification reexamined , 1999, Psychological research.