Literature DB >> 19653764

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

Assaf Harel1, Shlomo Bentin.   

Abstract

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.

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Mesh:

Year:  2009        PMID: 19653764      PMCID: PMC2800924          DOI: 10.1037/a0013621

Source DB:  PubMed          Journal:  J Exp Psychol Hum Percept Perform        ISSN: 0096-1523            Impact factor:   3.332


  40 in total

1.  Configural face encoding and spatial frequency information.

Authors:  Isabelle Boutet; Charles Collin; Jocelyn Faubert
Journal:  Percept Psychophys       Date:  2003-10

2.  Show me the features! Understanding recognition from the use of visual information.

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Journal:  Psychol Sci       Date:  2002-09

3.  Face recognition is affected by similarity in spatial frequency range to a greater degree than within-category object recognition.

Authors:  Charles A Collin; Chang Hong Liu; Nikolaus F Troje; Patricia A McMullen; Avi Chaudhuri
Journal:  J Exp Psychol Hum Percept Perform       Date:  2004-10       Impact factor: 3.332

4.  Subordinate-level categorization relies on high spatial frequencies to a greater degree than basic-level categorization.

Authors:  Charles A Collin; Patricia A McMullen
Journal:  Percept Psychophys       Date:  2005-02

5.  A reevaluation of the electrophysiological correlates of expert object processing.

Authors:  Lisa S Scott; James W Tanaka; David L Sheinberg; Tim Curran
Journal:  J Cogn Neurosci       Date:  2006-09       Impact factor: 3.225

6.  Holistic processing of faces: perceptual and decisional components.

Authors:  Jennifer J Richler; Isabel Gauthier; Michael J Wenger; Thomas J Palmeri
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2008-03       Impact factor: 3.051

Review 7.  Diagnostic recognition: task constraints, object information, and their interactions.

Authors:  P G Schyns
Journal:  Cognition       Date:  1998-07

8.  Pictures and names: making the connection.

Authors:  P Jolicoeur; M A Gluck; S M Kosslyn
Journal:  Cogn Psychol       Date:  1984-04       Impact factor: 3.468

9.  Objects, parts, and categories.

Authors:  B Tversky; K Hemenway
Journal:  J Exp Psychol Gen       Date:  1984-06

10.  Understanding face recognition.

Authors:  V Bruce; A Young
Journal:  Br J Psychol       Date:  1986-08
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  24 in total

1.  Top-down engagement modulates the neural expressions of visual expertise.

Authors:  Assaf Harel; Sharon Gilaie-Dotan; Rafael Malach; Shlomo Bentin
Journal:  Cereb Cortex       Date:  2010-02-04       Impact factor: 5.357

2.  Recognition memory for low- and high-frequency-filtered emotional faces: Low spatial frequencies drive emotional memory enhancement, whereas high spatial frequencies drive the emotion-induced recognition bias.

Authors:  Michaela Rohr; Johannes Tröger; Nils Michely; Alarith Uhde; Dirk Wentura
Journal:  Mem Cognit       Date:  2017-07

3.  Similarity relations in visual search predict rapid visual categorization.

Authors:  Krithika Mohan; S P Arun
Journal:  J Vis       Date:  2012-10-23       Impact factor: 2.240

4.  Task context impacts visual object processing differentially across the cortex.

Authors:  Assaf Harel; Dwight J Kravitz; Chris I Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-24       Impact factor: 11.205

5.  Basic-level categorization of intermediate complexity fragments reveals top-down effects of expertise in visual perception.

Authors:  Assaf Harel; Shimon Ullman; Danny Harari; Shlomo Bentin
Journal:  J Vis       Date:  2011-07-28       Impact factor: 2.240

6.  The wide window of face detection.

Authors:  Orit Hershler; Tal Golan; Shlomo Bentin; Shaul Hochstein
Journal:  J Vis       Date:  2010-08-20       Impact factor: 2.240

7.  Coarse-to-fine encoding of spatial frequency information into visual short-term memory for faces but impartial decay.

Authors:  Zaifeng Gao; Shlomo Bentin
Journal:  J Exp Psychol Hum Percept Perform       Date:  2011-08       Impact factor: 3.332

8.  Similarity judgments and cortical visual responses reflect different properties of object and scene categories in naturalistic images.

Authors:  Marcie L King; Iris I A Groen; Adam Steel; Dwight J Kravitz; Chris I Baker
Journal:  Neuroimage       Date:  2019-05-01       Impact factor: 6.556

9.  Are all types of expertise created equal? Car experts use different spatial frequency scales for subordinate categorization of cars and faces.

Authors:  Assaf Harel; Shlomo Bentin
Journal:  PLoS One       Date:  2013-06-24       Impact factor: 3.240

10.  Ultra rapid object categorization: effects of level, animacy and context.

Authors:  Maren Praß; Cathleen Grimsen; Martina König; Manfred Fahle
Journal:  PLoS One       Date:  2013-06-28       Impact factor: 3.240

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