Reference Frames for Orientation Anisotropies in Face Recognition and Biological-Motion Perception

Perception ◽  
10.1068/p3392 ◽  
2003 ◽  
Vol 32 (2) ◽  
pp. 201-210 ◽  
Author(s):  
Nikolaus F Troje
Keyword(s):  
Face Recognition ◽  
Motion Perception ◽  
Biological Motion ◽  
Reference Frames ◽  
Recognition Performance ◽  
Recognition Task ◽  
Detection Task ◽  
Social Recognition ◽  
Biological Motion Perception ◽  
Strong Orientation

Both face recognition and biological-motion perception are strongly orientation-dependent. Recognition performance decreases if the stimuli are rotated with respect to their normal upright orientation. Here, the question whether this effect operates in egocentric coordinates or in environmental coordinates is examined. In addition to the use of rotated stimuli the observers were also rotated and tested both with a same–different face-recognition task and with a biological-motion detection task. A strong orientation effect was found that depended only on the stimulus orientation relative to the observer. This result clearly indicates that orientation effects in both stimulus domains operate in an egocentric frame of reference. This finding is discussed in terms of the particular requirement of extracting sophisticated information for social recognition and communication from faces and biological motion.

Off on the Wrong Foot: Local Features in Biological Motion

Perception ◽  
10.1068/p6140 ◽  
2009 ◽  
Vol 38 (4) ◽  
pp. 522-532 ◽  
Author(s):  
Daniel R Saunders ◽  
Julia Suchan ◽  
Nikolaus F Troje
Keyword(s):  
Motion Perception ◽  
Discrimination Task ◽  
Biological Motion ◽  
Large Body ◽  
Detection Task ◽  
Observer Performance ◽  
Local Motion ◽  
Motion Patterns ◽  
Direction Discrimination ◽  
Biological Motion Perception

Biological-motion perception consists of a number of different phenomena. They include global mechanisms that support the retrieval of the coherent shape of a walker, but also mechanisms which derive information from the local motion of its parts about facing direction and animacy, independent of the particular shape of the display. A large body of the literature on biological-motion perception is based on a synthetic stimulus generated by an algorithm published by James Cutting in 1978 ( Perception7 393–405). Here we show that this particular stimulus lacks a visual invariant inherent to the local motion of the feet of a natural walker, which in more realistic motion patterns indicates the facing direction of a walker independent of its shape. Comparing Cutting's walker to a walker derived from motion-captured data of real human walkers, we find no difference between the two displays in a detection task designed such that observers had to rely on global shape. In a direction discrimination task, however, in which only local motion was accessible to the observer, performance on Cutting's walker was at chance, while direction could still be retrieved from the stimuli derived from the real walker.

scholarly journals Category-specific interference of object recognition with biological motion perception

2010 ◽  
Vol 10 (13) ◽  
pp. 16-16 ◽  
Author(s):  
K. Wittinghofer ◽  
M. H. E. de Lussanet ◽  
M. Lappe
Keyword(s):  
Object Recognition ◽  
Motion Perception ◽  
Biological Motion ◽  
Biological Motion Perception

scholarly journals Data Augmentation-Assisted Makeup-Invariant Face Recognition

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Muhammad Sajid ◽  
Nouman Ali ◽  
Saadat Hanif Dar ◽  
Naeem Iqbal Ratyal ◽  
Asif Raza Butt ◽  
...  
Keyword(s):  
Face Recognition ◽  
Data Augmentation ◽  
Recognition Performance ◽  
Recognition Task ◽  
Face Images ◽  
Face Features ◽  
Face Datasets ◽  
Exponential Rates ◽  
Interpersonal Situations

Recently, face datasets containing celebrities photos with facial makeup are growing at exponential rates, making their recognition very challenging. Existing face recognition methods rely on feature extraction and reference reranking to improve the performance. However face images with facial makeup carry inherent ambiguity due to artificial colors, shading, contouring, and varying skin tones, making recognition task more difficult. The problem becomes more confound as the makeup alters the bilateral size and symmetry of the certain face components such as eyes and lips affecting the distinctiveness of faces. The ambiguity becomes even worse when different days bring different facial makeup for celebrities owing to the context of interpersonal situations and current societal makeup trends. To cope with these artificial effects, we propose to use a deep convolutional neural network (dCNN) using augmented face dataset to extract discriminative features from face images containing synthetic makeup variations. The augmented dataset containing original face images and those with synthetic make up variations allows dCNN to learn face features in a variety of facial makeup. We also evaluate the role of partial and full makeup in face images to improve the recognition performance. The experimental results on two challenging face datasets show that the proposed approach can compete with the state of the art.

scholarly journals Developmental Origins of Biological Motion Perception

2012 ◽  
pp. 121-138
Author(s):  
Willem E. Frankenhuis ◽  
H. Clark Barrett, ◽  
Scott P. Johnson
Keyword(s):  
Motion Perception ◽  
Biological Motion ◽  
Developmental Origins ◽  
Biological Motion Perception

scholarly journals Comparing Biological Motion Perception in Two Distinct Human Societies

PLoS ONE ◽  
2011 ◽  
Vol 6 (12) ◽  
pp. e28391 ◽  
Author(s):  
Pierre Pica ◽  
Stuart Jackson ◽  
Randolph Blake ◽  
Nikolaus F. Troje
Keyword(s):  
Motion Perception ◽  
Biological Motion ◽  
Biological Motion Perception

scholarly journals Lighting-from-above prior in biological motion perception

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Leonid A. Fedorov ◽  
Tjeerd M. H. Dijkstra ◽  
Martin A. Giese
Keyword(s):  
Motion Perception ◽  
Biological Motion ◽  
Biological Motion Perception
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