The application of 3D representations in face recognition

Schwaninger, Adrian; Yang, Jisien

doi:10.1016/j.visres.2011.02.006

Cited by 12 publications

(11 citation statements)

References 60 publications

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“…In our previous research (Schwaninger & Yang, ), we found evidence to support the application of 3‐D face representation in adults. However, it is not clear how children perform in this 3‐D face‐transformation task, so we decided to explore this topic in order to better understand the development of face recognition.…”

supporting

confidence: 63%

“…This study explored the developmental difference of face recognition in a different mechanism (i.e., viewpoint‐transformation processing). It has been demonstrated that adults can readily match a front‐view face to their corresponding silhouette or vice versa (Schwaninger & Yang, ). This processing requires complex calculation and representation of the 3‐D information embedded in faces.…”

Section: Discussionmentioning

confidence: 99%

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The Ability of Face Viewpoint Transformation Remains Immature at Age of 12: Evidence from Recognition of Faces with Different Familiarity in Children

Yang

Schwaninger

2018

Jpn Psychol Res

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Children are immature in face recognition, particularly in face configural decoding. This study examines the developmental difference of face recognition in another mechanism: viewpoint transformation processing. Adults and sixth‐grade children were instructed to match a series of one‐tone black face silhouettes to their corresponding front‐view faces. This task involves sophisticated calculation in pictorial information, precise viewpoint transformation, and most probably a 3‐D face representation. The results showed that although the performances were well above chance level in the recognition of familiar faces, for children, they were at chance level in the recognition of unfamiliar faces. The results indicate that children, at least to the age of about 12 years, are still immature in the processing of face viewpoint transformation compared to adults.

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supporting

confidence: 63%

Section: Discussionmentioning

confidence: 99%

The Ability of Face Viewpoint Transformation Remains Immature at Age of 12: Evidence from Recognition of Faces with Different Familiarity in Children

Yang

Schwaninger

2018

Jpn Psychol Res

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“…It seems likely that visual realism perception for moving faces is more complex than for static faces. The application of 3D representations needs to be considered in this case, because 3D information substantially contributes to face recognition tasks [Liu and Ward 2006;Schwaninger and Yang 2011]. Piepers and Robbins [2012] suggested that important advances can be made by studying moving faces, helping us better understand whether "relationships between parts" means between the edges of nameable features of key elements.…”

Section: Limitations and Future Workmentioning

confidence: 99%

Human Perception of Visual Realism for Photo and Computer-Generated Face Images

Wang

Tan

et al. 2014

ACM Trans. Appl. Percept.

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Computer-generated (CG) face images are common in video games, advertisements, and other media. CG faces vary in their degree of realism, a factor that impacts viewer reactions. Therefore, efficient control of visual realism of face images is important. Efficient control is enabled by a deep understanding of visual realism perception: the extent to which viewers judge an image as a real photograph rather than a CG image. Across two experiments, we explored the processes involved in visual realism perception of face images. In Experiment 1, participants made visual realism judgments on original face images, inverted face images, and images of faces that had the top and bottom halves misaligned. In Experiment 2, participants made visual realism judgments on original face images, scrambled faces, and images that showed different parts of faces. Our findings indicate that both holistic and piecemeal processing are involved in visual realism perception of faces, with holistic processing becoming more dominant when resolution is lower. Our results also suggest that shading information is more important than color for holistic processing, and that inversion makes visual realism judgments harder for realistic images but not for unrealistic images. Furthermore, we found that eyes are the most influential face part for visual realism, and face context is critical for evaluating realism of face parts. To the best of our knowledge, this work is a first realism-centric study attempting to bridge the human perception of visual realism on face images with general face perception tasks.

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“…This creates the possibility that 3D information is indeed used and plays a role in forming internal face representations. Current data from haptic face recognition studies (e.g., Kilgour & Lederman, 2002) and tasks involving mental rotation of faces (Schwaninger & Yang, 2011) provide evidence that human face recognition may employ 3D representation mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional information in face recognition: An eye-tracking study

Chelnokova

Laeng

2011

Journal of Vision

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One unresolved question about face perception is: what is the role of three-dimensional information in face recognition? In this study, recognition performance was compared across changes in viewpoint in different depth conditions: a 2D condition without stereo information and a 3D condition where stereo information was present (by viewing the same face images as anaglyphs through 3D glasses). Subjects' eye movements were recorded during both 3D and 2D sessions. The findings revealed that participants were more accurate in the 3D condition. Moreover, individual differences in interpupillary distance predicted recognition performance in the 3D but not in the 2D condition. A "region of interest" analysis of gaze data showed that rich volumetric properties provided by certain facial features (e.g., the nose and the cheeks) were attended more in the 3D condition compared to the 2D condition. Taken together, these findings support the conclusion that face recognition across viewpoint transformation is facilitated by the addition of stereoscopic depth cues.

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The application of 3D representations in face recognition

Cited by 12 publications

References 60 publications

The Ability of Face Viewpoint Transformation Remains Immature at Age of 12: Evidence from Recognition of Faces with Different Familiarity in Children

The Ability of Face Viewpoint Transformation Remains Immature at Age of 12: Evidence from Recognition of Faces with Different Familiarity in Children

Human Perception of Visual Realism for Photo and Computer-Generated Face Images

Three-dimensional information in face recognition: An eye-tracking study

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