Please wait a minute...
   2011, Vol. 19 Issue (8) : 1126-1137     DOI:
研究前沿 |
The Role of Configural and Featural Processing in Face Recognition
Beijing Key Laboratory of Learning and Cognition and Department of Psychology, Capital Normal University, Beijing 100048, China
Download: PDF(189 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  Configural and featural processing, two most important processing modes in face recognition, were reviewed based on literatures frequently cited and supported during recent 40 years. Different related conceptions and methods were discussed, and the findings supported both by behavioral and cognitive neuroscience researches were emphasized and systematically interpreted under a frame of dissociated facial recognition. Developmental and neurobiological studies were further reviewed to provide a robust evidence of two processing modes in facial recognition. Furthermore, the potential different levels of configural processing were proposed to explain the conflicted conclusions in the field. Whatever, the distinction between configural processing and featural processing was well supported, and these two processing pattern may be used to account for how we obtain different facial property information from one’s faces. Still, the subcategory of configural information and the differences between conceptions such as configural, holistic, whole, and global were suggested to be explored in the future.
Keywords face recognition      configural processing      featural processing     
Corresponding Authors: WANG Ya-Min   
Issue Date: 15 August 2011
E-mail this article
E-mail Alert
Articles by authors
Cite this article:   
WANG Ya-Min,HUANG Ya-Mei. The Role of Configural and Featural Processing in Face Recognition[J]. , 2011, 19(8): 1126-1137.
URL:     OR
[1] QIAN Haoyue; ZHU Min; GAO Xiangping. Configural processing of faces in old adulthood[J]. Advances in Psychological Science, 2017, 25(2): 230-236.
[2] SUN Dan; ZHANG Ye. The functional specialization and collaboration of #br# the bilateral fusiform face areas[J]. Advances in Psychological Science, 2016, 24(4): 510-516.
[3] MA Jian-Ling;CHEN Xu;WANG Jing. The Characteristic, Influential Factors and ERP Study of Self-face Recognition[J]. , 2012, 20(2): 240-247.
[4] GUAN Li-Li;QI Ming-Ming;ZHANG Qing-Lin;YANG Juan. Neural Mechanism of Self-Face Recognition[J]. , 2011, 19(9): 1313-1318.
[5] LI Ming-Fang;ZHANG Ye;ZHANG Qing-Lin. A Review of the N170 Component in Face Recognition[J]. , 2010, 18(12): 1942-1948.
[6] WANG Yu-Na;CHAN Raymond. Self Impairment and Schizophrenia[J]. , 2010, 18(12): 1882-1891.
[7] WANG Li-Juan;LUO Hong-Ge;YAO Xue. The Neural Mechanisms of Face Recognition in Autism Spectrum Disorders[J]. , 2009, 17(06): 1177-1184.
[8] ZHAO Yu-Jing;WANG Shen-Lian; DING Jia-Yong. Two Preferences in the Newborns’ Face Recognition[J]. , 2009, 17(06): 1234-1241.
[9] ZHOU Guo-Mei;ZHANG Lu-Ran;ZENG Wei-Xian. Theories on Own-Race Effect in Face Recognition[J]. , 2009, 17(02): 278-283.
[10] Chen Guang;Zhu Bi. Review on the Theories of Infant Face Preference[J]. , 2006, 14(04): 625-630.
[11] Wang Yamin,Fu Xiaolan. Recognizing Facial Expression and Facial Identity: Parallel Processing or Interactive Processing[J]. , 2005, 13(04): 497-516.
[12] Peng Xiaohu, Luo Yuejia, Wei Jinghan, Wang Guofeng. COGNITIVE MODEL AND ELECTROPHYSIOLOGIC EVIDENCE OF FACE RECOGNITION[J]. , 2002, 10(03): 241-247.
Full text



Copyright © Advances in Psychological Science
Support by Beijing Magtech