Abstract
AbstractThe significance of shape and surface information for face perception is well established, yet their relative contribution to recognition and their neural underpinnings await clarification. Here, we employ image reconstruction to retrieve, assess and visualize such information using behavioral, electroencephalography and functional magnetic resonance imaging data.Our results indicate that both shape and surface information can be successfully recovered from each modality but that the latter is better recovered than the former, consistent with its key role for face representations. Further, shape and surface information exhibit similar spatiotemporal profiles, rely on the extraction of specific visual features, such as eye shape or skin tone, and reveal a systematic representational structure, albeit with more cross-modal consistency for shape than surface.Thus, the present results help elucidate the representational basis of individual face recognition while, methodologically, they showcase the utility of image reconstruction and clarify its reliance on diagnostic visual information.
Publisher
Cold Spring Harbor Laboratory
Reference93 articles.
1. Reverse engineering the face space: Discovering the critical features for face identification;Journal of Vision,2016
2. Ahdid, R. , Taifi, K. , Safi, S. , & Manaut, B. (n.d.). A Survey on Facial Feature Points Detection Techniques and Approaches. Retrieved from http://waset.org/publications/10005826
3. Contributions of feature shapes and surface cues to the recognition and neural representation of facial identity;Cortex,2016
4. Statistical approach to shape from shading: reconstruction of 3D face surfaces from single 2D images;Plast Recon Surg,1996
5. Successful Decoding of Famous Faces in the Fusiform Face Area