바로가기메뉴

본문 바로가기 주메뉴 바로가기

ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

logo

공간 주파수 필터링이 표정 인식 및 연령 지각에 미치는 효과

The effect of spatial frequency filtering on facial expression recognition and age perception

한국심리학회지: 인지 및 생물 / The Korean Journal of Cognitive and Biological Psychology, (P)1226-9654; (E)2733-466X
2006, v.18 no.4, pp.311-324
박수진 (연세대학교)
정우현 (충북대학교)
  • 다운로드 수
  • 조회수

초록

본 연구에서는 얼굴에 대한 공간 주파수 처리가 표정 인식 및 연령 지각에 어떤 영향을 주는지를 살펴보았다. 고주파수 정보와 저주파수 정보 각각이 표정 인식 및 연령 지각에 미치는 효과를 비교하기 위해 두 개의 실험이 수행되었다. 실험 1에서는 쾌-불쾌, 각성-이완의 2차원 정서 공간상에서 대표적인 여덟 개의 표정이 추출, 사용되었고, 실험 2에서는 20대부터 60대까지의 여성 얼굴이 사용되었다. 공간 주파수 필터링은 Vuilleumier, Armony, Driver, 그리고 Dolan(2003)의 연구에 준하여 실시하였다. 실험 결과 표정 인식에서는 쾌-불쾌 차원과 각성-이완 차원 모두에서 고주파수 정보가 저주파수 정보보다 상대적으로 더 중요한 역할을 하는 것으로 나타났다. 연령 지각에서는 저주파수와 고주파수 필터링 모두 고 연령대의 얼굴에 대한 연령 지각에 특히 영향을 미치는 것으로 나타났다. 이러한 결과는 연령 지각이 얼굴 처리에서 변화 가능한 속성을 처리하는 경로와 불변속성을 처리하는 경로 모두와 관련될 가능성이 있음을 시사한다.

keywords
얼굴, 표정, 연령 지각, 공간 주파수 필터링, face, facial expressions, age perception, spatial frequency filtering

Abstract

In this study, we investigated the effect of spatial frequency filtering on facial expression recognition and age perception. Two experiments were performed to compare the relative importance of high spatial frequency information with low spatial frequency information on facial information processing. In the first experiment, the stimuli were made from eight images of facial expressions which were located on the 2-dimensional space of emotion: pleasure-displeasure and arousal-relaxation. In the second experiment, the images used stimuli were the female faces from twenties to sixties. The spatial frequency filtering of facial stimuli were similar to Vuilleumier, Armony, Driver, & Dolan(2003)'s. The results showed that the high spatial frequency information are more decisive than low spatial frequency information in the estimation of the facial expressions on both pleasure and arousal dimensions, and both high and low frequency information are concerned with the estimation of age for the old groups. These results imply that the age perception is related to both pathways of changeable information processing and invariant information processing on the face.

keywords
얼굴, 표정, 연령 지각, 공간 주파수 필터링, face, facial expressions, age perception, spatial frequency filtering

참고문헌

1.

(1998) 감성 인터페이스: 얼굴 표정의 인식 및 합성 모형,

2.

(1999) 얼굴 표정에 의한 내적 상태 추정,

3.

(1960) Emotion and personality, Columbia University Press

4.

(1986) Understanding face recognition,

5.

(1995) Perception of age in adult Caucasian male faces: Computer graphic manipulation of shape and colour information,

6.

(1996) Effects of high-pass and low-pass spatial filtering on face identification,

7.

(1972) Emotion in the human face Guidelines for research and an integration of findings, Pergamon Press

8.

(1986) The emotions, Cambridge University Press

9.

(1995) Factors influencing the accuracy of age estimates of unfamiliar faces,

10.

(1998) The influence of feature-based information in the age processing of unfamiliar faces,

11.

(2000) The role of spatial and surface cues in the age-processing of unfamiliar faces,

12.

(2003) Spatial scale contribution to early visual differences between face and object processing,

13.

(2004) The respective role of low and high spatial frequencies in supporting configural and featural processing of faces,

14.

(2003) Quantifying recognition abilities for four major emotional expressions based on facial geometry.,

15.

Goren, D, (2004) Differential impact of spatial frequency on facial expression and facial identity recognition. ,

16.

Gray, (1982) Neuropsychological theory of anxiety An investigation of the septal- hippocampal system, Cambridge University Press

17.

Rolls, (1989) The role of expression and identity in the face-selective responses of neurons in the temporal visual cortex of the monkey,

18.

Haxby, J. V, (2000) Human neural systems for face recognition and social communication,

19.

Hayes, (1986) Recognition of positive and negative band-pass filtered images,

20.

Izard,C.E, (1971) The face of emotion, Appleton-Century-Crofts

21.

James, (1884188-204) What is an emotion? Mind,

22.

Lanitis, A, (1999) Modeling the process of aging in face images, Seventh International Conference on Computer Vision (ICCV) 1,

23.

Mandler,G, (1975) Mind and emotion, John Wiley & Sons

24.

Mandler, (1990) A contructivist theory of emotion Psychological and biological approaches to emotion,

25.

McDougall, (1926) An introduction to social psychology,

26.

Mowrer,O.H, (1960) Learning theory and behavior, Wiley

27.

Nagayama, R, (1995) Interrelationship between the facial expression and familarity: Analysis using spatial filtering and inverted presentation,

28.

Nasanen,R, (1999) Spatial-frequency bandwidth used in the recognition of facial images,

29.

Oatley,K.,, (1987) Towards a cognitive theory of emotions,

30.

Panksepp,J, (1982) Toward a general psychobiological theory of emotions,

31.

(1980) A general psychoevolutionay theory of emotion Theories of emotion, Academic Press

32.

(2001) Structure of the Indonesian emotion lexicon,

33.

(1984) Approaches to emotion,

34.

(2003) Distinct spatial frequency sensitivities for processing faces and emotional expressions,

35.

(1930) Behaviorism, University of Chicago Press

36.

(1984) An attributional approach to emotional development, In C Cambridge University Press

37.

(2002) Age differences in lineup identification accuracy,

한국심리학회지: 인지 및 생물