Abstract

Facial information is a powerful channel for human-to-human communication. Characteristically, faces can be defined as biological objects that are four-dimensional (4D) patterns, whereby they have concurrently a spatial structure and surface as well as temporal dynamics. The spatial characteristics of facial objects contain a volume and surface in three dimensions (3D), namely breadth, height and importantly, depth. The temporal properties of facial objects are defined by how a 3D facial structure and surface evolves dynamically over time; where time is referred to as the fourth dimension (4D). Our entire perception of another’s face, whether it be social, affective or cognitive perceptions, is therefore built on a combination of 3D and 4D visual cues. Counterintuitively, over the past few decades of experimental research in psychology, facial stimuli have largely been captured, reproduced and presented to participants with two dimensions (2D), while remaining largely static. The following review aims to advance and update facial researchers, on the recent revolution in computer-generated, realistic 4D facial models produced from real-life human subjects. We delve in-depth to summarize recent studies which have utilized facial stimuli that possess 3D structural and surface cues (geometry, surface and depth) and 4D temporal cues (3D structure + dynamic viewpoint and movement). In sum, we have found that higher-order perceptions such as identity, gender, ethnicity, emotion and personality, are critically influenced by 4D characteristics. In future, it is recommended that facial stimuli incorporate the 4D space-time perspective with the proposed time-resolved methods.

Highlights

  • Reviewed by: Harold Hill, University of Wollongong, Australia Colin John Palmer, University of New South Wales, Australia

  • It is likely by viewing human facial modeling from a space-time (4D) perspective, that much will be learned about how naturalistic and ecologically valid facial perception is performed in our interactions with each other

  • While the FACS system has been extensively used with 2D dynamic faces displaying emotional expressions, for example, 2D images (Pantic and Rothkrantz, 2004; Cohn and De la Torre, 2014; Baltrušaitis et al, 2015) and 2D dynamic videos (Donato et al, 1999; Pantic and Rothkrantz, 2004; Bartlett et al, 2006) this study indicates 3D/4D dynamic faces may be more important for low intensity emotions

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Summary

Introduction

Reviewed by: Harold Hill, University of Wollongong, Australia Colin John Palmer, University of New South Wales, Australia. 4D Space-Time Dimensions Facial Perception human face encompasses all dynamic movement and changes to this 3D spatial form that evolve with time.

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