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Does automatic human face categorization depend on head orientation?

Or, Charles C-F; RETTER, Talia; Rossion, Bruno

2021 • In Cortex: A Journal Devoted to the Study of the Nervous System and Behavior, 141, p. 94 - 111

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https://hdl.handle.net/10993/58595

DOI
10.1016/j.cortex.2021.03.030

PubMed
34049256

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Abstract :

[en] Whether human categorization of visual stimuli as faces is optimal for full-front views, best revealing diagnostic features but lacking depth cues, remains largely unknown. To address this question, we presented 16 human observers with unsegmented natural images of different living and non-living objects at a fast rate (f = 12 Hz), with natural face images appearing at f/9 = 1.33 Hz. Faces posing all full-front or at ¾ side view angles appeared in separate sequences. Robust frequency-tagged 1.33 Hz (and harmonic) occipito-temporal electroencephalographic (EEG) responses reflecting face-selective neural activity did not differ in overall amplitude between full-front and ¾ side views. Despite this, alternating between full-front and ¾ side views within a sequence led to significant responses at specific harmonics of .67 Hz (f/18), objectively isolating view-dependent face-selective responses over occipito-temporal regions. Critically, a time-domain analysis showed that these view-dependent face-selective responses reflected only an earlier response to full-front than ¾ side views by 8-13 ms. Overall, these findings indicate that the face-selective neural representation is as robust for ¾ side faces as for full-front faces in the human brain, but full-front views provide a slightly earlier processing-time advantage as compared to rotated face views.

Disciplines :

Neurosciences & behavior

Author, co-author :

Or, Charles C-F ; Division of Psychology, School of Social Sciences, Nanyang Technological University, Singapore, Psychological Sciences Research Institute & Institute of Neuroscience, University of Louvain, Belgium. Electronic address: charlesor@ntu.edu.sg

RETTER, Talia ; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) > Cognitive Science and Assessment ; Psychological Sciences Research Institute & Institute of Neuroscience, University of Louvain, Belgium

Rossion, Bruno ; Psychological Sciences Research Institute & Institute of Neuroscience, University of Louvain, Belgium, Université de Lorraine, CNRS, CRAN, F-54000 Nancy, France, CHRU-Nancy, Service de Neurologie, F-54000 Nancy, France

External co-authors :

yes

Language :

English

Title :

Does automatic human face categorization depend on head orientation?

Publication date :

August 2021

Journal title :

Cortex: A Journal Devoted to the Study of the Nervous System and Behavior

ISSN :

0010-9452

eISSN :

1973-8102

Publisher :

Masson SpA, Italy

Volume :

141

Pages :

94 - 111

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S0010945221001441?httpAccept=text/xml

Funders :

European Research Council
European Research Council
Australian Cancer Research Foundation
Ministry of Education - Singapore
Fonds De La Recherche Scientifique - FNRS
Nanyang Technological University

Funding text :

This work was supported by Singapore MOE AcRF Grant 2019-T1-001-060, NTU HASS Start-Up Grant, and F.R.S.-FNRS postdoctoral fellowship (FC 2773) to C. O., AcRF Grant 2018-T1-001-069 to C. O. & B. R., F.R.S.-FNRS doctoral grant to T. L. R. (FC 7159), and ERC grant to B. R. (facessvep 284025). We thank Denise Lim for generating Supplementary Video.

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Bibliography

Axelrod, V., Yovel, G., Hierarchical processing of face viewpoint in human visual cortex. Journal of Neuroscience 32:7 (2012), 2442–2452, 10.1523/jneurosci.4770-11.2012.
Baddeley, A., Woodhead, M., Improving face recognition ability. Lloyd-Bostock, S.M.A., Clifford, B.R., (eds.) Evaluating witness evidence: Recent psychological research and new perspectives, 1983, John Wiley & Sons, Chichester, England, 125–136.
Benton, C.P., Jennings, S.J., Chatting, D.J., Viewpoint dependence in adaptation to facial identity. Vision Research 46 (2006), 3313–3325, 10.1016/j.visres.2006.06.002.
Bindemann, M., Lewis, M.B., Face detection differs from categorization: Evidence from visual search in natural scenes. Psychonomic Bulletin & Review 20:1 (2013), 1140–1145, 10.3758/s13423-013-0445-9.
Booth, M.C.A., Rolls, E.T., View-invariant representations of familiar objects by neurons in the inferior temporal visual cortex. Cerebral Cortex 8:5 (1998), 510–523, 10.1093/cercor/8.6.510.
Bruce, V., Changing faces: Visual and non-visual coding processes in face recognition. British Journal of Psychology 73:1 (1982), 105–116, 10.1111/j.2044-8295.1982.tb01795.x.
Bruce, V., Valentine, T., Baddeley, A., The basis of the 3/4 view advantage in face recognition. Applied Cognitive Psychology 1 (1987), 109–120, 10.1002/acp.2350010204.
Bruce, V., Young, A., Understanding face recognition. British Journal of Psychology 77 (1986), 305–327, 10.1111/j.2044-8295.1986.tb02199.x.
Burton, A.M., Bindemann, M., The role of view in human face detection. Vision Research 49 (2009), 2026–2036, 10.1016/j.visres.2009.05.012.
Butterworth, S., On the theory of filter amplifiers. Experimental Wireless & the Wireless Engineer 7:85 (1930), 536–541.
Chen, J.-C., Lien, J.-J.J., A view-based statistical system for multi0view face detection and pose estimation. Image and Vision Computing 27 (2009), 1252–1271, 10.1016/j.imavis.2008.11.004.
Crouzet, S.M., Kirchner, H., Thorpe, S.J., Fast saccades toward faces: Face detection in just 100 ms. Journal of Vision 10:4 (2010), 1–17, 10.1167/10.4.16 16.
Desimone, R., Albright, T.D., Gross, C.G., Bruce, C., Stimulus-selective properties of inferior temporal neurons in the macaque. Journal of Neuroscience 4:8 (1984), 2051–2062.
Duchaine, B., Yovel, G., A revised neural framework for face processing. Annual Review of Vision Science 1 (2015), 393–416, 10.1146/annurev-vision-082114-035518.
Dzhelyova, M., Rossion, B., The effect of parametric stimulus size variation on individual face discrimination indexed by fast periodic visual stimulation. BMC Neuroscience 15:87 (2014), 1–12, 10.1186/1471-2202-15-87.
Fang, F., Murray, S.O., He, S., Duration-dependent fMRI adaptation and distributed viewer-centered face representation in human visual cortex. Cerebral Cortex 17 (2007), 1402–1411, 10.1093/cercor/bhl053.
Farfade, S.S., Saberian, M., Li, L.-J., Multi-view face detection using deep convolutional neural networks. Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015, 643–650, 10.1145/2671188.2749408.
Freiwald, W.A., Tsao, D.Y., Functional compartmentalization and viewpoint generalization within the macaque face-processing system. Science 330:6005 (2010), 845–851, 10.1126/science.1194908.
Frischen, A., Bayliss, A.P., Tipper, S.P., Gaze cueing of attention: Visual attention, social cognition, and individual differences. Psychological Bulletin 133:4 (2007), 694–724, 10.1037/0033-2909.133.4.694.
Griffin, J.W., Quantifying the face inversion effect in nonhuman primates: A phylogenetic meta-analysis. Animal Cognition 23 (2020), 237–249, 10.1007/s10071-019-01340-8.
Grill-Spector, K., Kushnir, T., Edelman, S., Avidan, G., Itzchak, Y., Malach, R., Differential processing of objects under various viewing conditions in the human lateral occipital complex. Neuron 24 (1999), 187–203, 10.1016/s0896-6273(00)80832-6.
Gross, C.G., Rocha-Miranda, C.E., Bender, D.B., Visual properties of neurons in inferotemporal cortex of the macaque. Journal of Neurophysiology 35:1 (1972), 96–111, 10.1152/jn.1972.35.1.96.
Haxby, J.V., Hoffman, E.A., Gobbini, M.I., The distributed human neural system for face perception. Trends in Cognitive Sciences 4:6 (2000), 223–233, 10.1016/s1364-6613(00)01482-0.
Heywood, C.A., Cowey, A., The role of the ‘face-cell’ area in the discrimination and recognition of faces by monkeys. Philosophical Transactions of the Royal Society B: Biological Sciences 335:1273 (1992), 31–38, 10.1098/rstb.1992.0004.
Hill, H., Schyns, P.G., Akamatsu, S., Information and viewpoint dependence in face recognition. Cognition 62 (1997), 201–222, 10.1016/s0010-0277(96)00785-8.
Jacques, C., Retter, T.L., Rossion, B., A single glance at natural face images generate larger and qualitatively different category-selective spatio-temporal signatures than other ecologically-relevant categories in the human brain. Neuroimage 137 (2016), 21–33, 10.1016/j.neuroimage.2016.04.045.
Jeffery, L., Rhodes, G., Busey, T., View-specific coding of face shape. Psychological Science 17:6 (2006), 501–505, 10.1111/j.1467-9280.2006.01735.x.
Jeffery, L., Rhodes, G., Busey, T., Broadly tuned, view-specific coding of face shape: Opposing figural aftereffects can be induced in different views. Vision Research 47 (2007), 3070–3077, 10.1016/j.visres.2007.08.018.
Jonas, J., Jacques, C., Liu-Shuang, J., Brissart, H., Colnat-Coulbois, S., Maillard, L., et al. A face-selective ventral occipito-temporal map of the human brain with intracerebral potentials. Proceedings of the National Academy of Sciences 113:28 (2016), E4088–E4097, 10.1073/pnas.1522033113.
Laganaro, M., ERP topographic analyses from concept to articulation in word production studies. Frontiers in Psychology 5:493 (2014), 1–10, 10.3389/fpsyg.2014.00493.
Liu, C.H., Chaudhuri, A., Are there qualitative differences between face processing in photographic positive and negative?. Perception 27 (1998), 1107–1122, 10.1068/p271107.
Liu, C.H., Chaudhuri, A., Reassessing the 3/4 view effect in face recognition. Cognition 83 (2002), 31–48, 10.1016/s0010-0277(01)00164-0.
Logie, R.H., Baddeley, A.D., Woodhead, M.M., Face recognition, pose and ecological validity. Applied Cognitive Psychology 1:1 (1987), 53–69, 10.1002/acp.2350010108.
Mouraux, A., Iannetti, G.D., Colon, E., Nozaradan, S., Legrain, V., Plaghki, L., Nociceptive steady-state evoked potentials elicited by rapid periodic thermal stimulation of cutaneous nociceptors. Journal of Neuroscience 31:16 (2011), 6079–6087, 10.1523/jneurosci.3977-10.2011.
Norcia, A.M., Appelbaum, L.G., Ales, J.M., Cottereau, B.R., Rossion, B., The steady-state visual evoked potential in vision research: A review. Journal of Vision 15:6 (2015), 1–46, 10.1167/15.6.4.
Oldfield, R.C., The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia 9:1 (1971), 97–113, 10.1016/0028-3932(71)90067-4.
Omer, Y., Sapir, R., Hatuka, Y., Yovel, G., What is a face? Critical features for face detection. Perception 48:5 (2019), 437–446, 10.1177/0301006619838734.
Or, C.C.-F., Goh, B.K., Lee, A.L.F., The roles of gaze and head orientation in face categorization during rapid serial visual presentation. Vision Research, 2021 In press.
Or, C.C.-F., Retter, T.L., Rossion, B., The contribution of color information to rapid face categorization in natural scenes. Journal of Vision 19:5 (2019), 1–20, 10.1167/19.5.20 20.
Oruc, I., Shafai, F., Murthy, S., Lages, P., Ton, T., The adult face-diet: A naturalistic observation study. Vision Research 157 (2019), 222–229, 10.1016/j.visres.2018.01.001.
O'Toole, A.J., Edelman, S., Bülthoff, H.H., Stimulus-specific effects in face recognition over changes in viewpoint. Vision Research 38 (1998), 2351–2363, 10.1016/S0042-6989(98)00042-X.
Paras, C.L., Webster, M.A., Stimulus requirements for face perception: An analysis based on “totem poles”. Frontiers in Psychology 4:18 (2013), 1–16, 10.3389/fpsyg.2013.00018.
Parr, L.A., Heintz, M., Pradhan, G., Rhesus monkeys (Macaca mulatta) lack expertise in face processing. Journal of Comparative Psychology 122:4 (2008), 390–402, 10.1037/0735-7036.122.4.390.
Perrett, D.I., Oram, M.W., Visual recognition based on temporal cortex cells: Viewer-centred processing of pattern configuration. Zeitschrift für Naturforschung 53 (1998), 518–541.
Perrett, D.I., Oram, M.W., Ashbridge, E., Evidence accumulation in cell populations responsive to faces: An account of generalisation of recognition without mental transformations. Cognition 67 (1998), 111–145.
Perrett, D.I., Oram, M.W., Harries, M.H., Bevan, R., Hietanen, J.K., Benson, P.J., et al. Viewer-centred and object-centred coding of heads in the macaque temporal cortex. Experimental Brain Research 86 (1991), 159–173.
Perrett, D.I., Rolls, E.T., Caan, W., Visual neurones responsive to faces in the monkey temporal cortex. Experimental Brain Research 47 (1982), 329–342, 10.1007/bf00239352.
Perrett, D.I., Smith, P.A., Potter, D.D., Mistlin, A.J., Head, A.S., Milner, A.D., et al. Neurones responsive to faces in the temporal cortex: Studies of functional organization, sensitivity to identity and relation to perception. Human Neurobiology 3:4 (1984), 197–208.
Perrett, D.I., Smith, P.A.J., Potter, D.D., Mistlin, A.J., Head, A.S., Milner, A.D., et al. Visual cells in the temporal cortex sensitive to face view and gaze direction. Proceedings of the Royal Society B: Biological Sciences 223 (1985), 293–317.
Quek, G.L., Rossion, B., Category-selective human brain processes elicited in fast periodic visual stimulation streams are immune to temporal predictability. Neuropsychologia 104 (2017), 182–200, 10.1016/j.neuropsychologia.2017.08.010.
Ramírez, F.M., Cichy, R.M., Allefeld, C., Haynes, J.-D., The neural code for face orientation in the human fusiform face area. Journal of Neuroscience 34:36 (2014), 12155–12167, 10.1523/jneurosci.3156-13.2014.
Ravidas, S., Ansari, A., Kukreja, J., Multi-view face detection: A comprehensive survey. International Journal of Computer Science and Mobile Computing 3:3 (2014), 1193–1203.
Regan, D., Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine, 1989, Elsevier, New York, NY.
Retter, T.L., Jiang, F., Webster, M.A., Rossion, B., All-or-none face categorization in the human brain. Neuroimage 213:116685 (2020), 1–16, 10.1016/j.neuroimage.2020.116685.
Retter, T.L., Rossion, B., Uncovering the neural magnitude and spatio-temporal dynamics of natural image categorization in a fast visual stream. Neuropsychologia 91 (2016), 9–28, 10.1016/j.neuropsychologia.2016.07.028.
Retter, T.L., Rossion, B., Visual adaptation provides objective electrophysiological evidence of facial identity discrimination. Cortex; a Journal Devoted To the Study of the Nervous System and Behavior 80 (2016), 35–50, 10.1016/j.cortex.2015.11.025.
Rossion, B., Alonso Pireto, E., Boremanse, A., Kuefner, D., Van Belle, G., A steady-state visual evoked potential approach to individual face perception: Effect of inversion, contrast-reversal and temporal dynamics. Neuroimage 63:3 (2012), 1585–1600, 10.1016/j.neuroimage.2012.08.033.
Rossion, B., Boremanse, A., Robust sensitivity to facial identity in the right human occipito-temporal cortex as revealed by steady-state visual-evoked potentials. Journal of Vision 11:2 (2011), 1–21, 10.1167/11.2.16 16.
Rossion, B., Taubert, J., What can we learn about human individual face recognition from experimental studies in monkeys?. Vision Research 157 (2019), 142–158, 10.1016/j.visres.2018.03.012.
Rossion, B., Torfs, K., Jacques, C., Liu-Shuang, J., Fast periodic presentation of natural images reveals a robust face-selective electrophysiological response in the human brain. Journal of Vision 15:1 (2015), 1–18, 10.1167/15.1.18 18.
Schneiderman, H., Kanade, T., A statistical method for 3D object detection applied to faces and cars. Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2000) 1 (2000), 746–751.
Tovée, M.J., Cohen-Tovée, E.M., The neural substrates of face processing models: A review. Cognitive Neuropsychology 10:6 (1993), 505–528, 10.1080/02643299308253471.
Troje, N.F., Bülthoff, H.H., Face recognition under varying poses: The role of texture and shape. Vision Research 36:12 (1996), 1761–1771, 10.1016/0042-6989(95)00230-8.
Tsao, D.Y., Freiwald, W.A., Tootell, R.B.H., Livingstone, M.S., A cortical region consisting entirely of face-selective cells. Science 311:5761 (2006), 670–674, 10.1126/science.1119983.
Valentin, D., Abdi, H., Edelman, B., What represents a face: A computational approach for the integration of physiological and psychological data. Perception 26:10 (1997), 1271–1288, 10.1068/p261271.
Van der Linde, I., Watson, T., A combinatorial study of pose effects in unfamiliar face recognition. Vision Research 50 (2010), 522–533, 10.1016/j.visres.2009.12.012.
Xu, X., Biederman, I., Loci of the release from fMRI adaptation for changes in facial expression, identity and viewpoint. Journal of Vision 10:14 (2010), 1–13, 10.1167/10.14.36 36.
Yang, S., Luo, P., Loy, C.C., Tang, X., Faceness-Net: Face detection through deep facial part responses. IEEE Transactions on Pattern Analysis and Machine Intelligence 40:8 (2018), 1845–1859, 10.1109/TPAMI.2017.2738644.
Young, M.P., Yamane, S., Sparse population coding of faces in the inferotemporal cortex. Science 256:5061 (1992), 1327–1331, 10.1126/science.1598577.

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