中華心理學刊 民109，62 卷，1 期，99-128
Chinese Journal of Psychology 2020, Vol.62, No.1, 99-128
楊志誠（國立金門大學社會工作學系）；襲充文（國立中正大學心理學系暨認知科學研究中心 ; 國立中正大學前瞻製造系統頂尖研究中心）
Image-based Approach to Face Recognition: Effects of Line-drawn Faces, Pigmentation and Shading, and Spatial Frequency
Jisien Yang（Department of Social Work, National Quemoy University）；Gary C.-W. Shyi（Department of Psychology and Center for Research in Cognitive Sciences, National Chung Cheng University；Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University）
The vast number of studies in face recognition have gradually evolved into three major approaches, namely, the image-based, structure-based, and function-based approach. Studies under the category of image-based approach are concerned with image-level face information, such as edge, spatial frequency, pigmentation, shading and shadow. Researchers manipulate these factors and examine the roles they may play in face recognition. In contrast, those ascribed to the structure-based approach are concerned with the effect of featural, configural, and holistic information on face recognition. Researchers adopting this approach consider faces as decomposable objects and explain face processing in terms of structural descriptions. Finally, studies under the third approach investigate face recognition from a functional perspective, where the main issues concern how humans extract biological as well as social information from faces that are pertinent to social interactions, such as identity, gender, age, race, and emotional expression, among others. In this review, we first discuss the differences between these three approaches, and then focus our review in details on the findings accrued within the image-based approach. Our goal is to provide an integrated overview of the image-based approach and emphasize the importance of image-based processing in understanding face recognition. Specifically, our review highlights how basic processing of image information such as border, spatial frequency, pigmentation, may lay the critical foundation for the later processing of the structural and functional aspects of a face.
Keywords: Face recognition model, image-based research, spatial frequency, shape from shadow