Cargando…

Low-Level Cues and Ultra-Fast Face Detection

Recent experimental work has demonstrated the existence of extremely rapid saccades toward faces in natural scenes that can be initiated only 100 ms after image onset (Crouzet et al., 2010). These ultra-rapid saccades constitute a major challenge to current models of processing in the visual system...

Descripción completa

Detalles Bibliográficos
Autores principales: Crouzet, Sébastien M., Thorpe, Simon J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3221302/
https://www.ncbi.nlm.nih.gov/pubmed/22125544
http://dx.doi.org/10.3389/fpsyg.2011.00342
_version_ 1782217071825780736
author Crouzet, Sébastien M.
Thorpe, Simon J.
author_facet Crouzet, Sébastien M.
Thorpe, Simon J.
author_sort Crouzet, Sébastien M.
collection PubMed
description Recent experimental work has demonstrated the existence of extremely rapid saccades toward faces in natural scenes that can be initiated only 100 ms after image onset (Crouzet et al., 2010). These ultra-rapid saccades constitute a major challenge to current models of processing in the visual system because they do not seem to leave enough time for even a single feed-forward pass through the ventral stream. Here we explore the possibility that the information required to trigger these very fast saccades could be extracted very early on in visual processing using relatively low-level amplitude spectrum (AS) information in the Fourier domain. Experiment 1 showed that AS normalization can significantly alter face-detection performance. However, a decrease of performance following AS normalization does not alone prove that AS-based information is used (Gaspar and Rousselet, 2009). In Experiment 2, following the Gaspar and Rousselet paper, we used a swapping procedure to clarify the role of AS information in fast object detection. Our experiment is composed of three conditions: (i) original images, (ii) category swapped, in which the face image has the AS of a vehicle, and the vehicle has the AS of a face, and (iii) identity swapped, where the face has the AS of another face image, and the vehicle has the AS of another vehicle image. The results showed very similar levels of performance in the original and identity swapped conditions, and a clear drop in the category swapped condition. This result demonstrates that, in the early temporal window offered by the saccadic choice task, the visual saccadic system does indeed rely on low-level AS information in order to rapidly detect faces. This sort of crude diagnostic information could potentially be derived very early on in the visual system, possibly as early as V1 and V2.
format Online
Article
Text
id pubmed-3221302
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Frontiers Research Foundation
record_format MEDLINE/PubMed
spelling pubmed-32213022011-11-28 Low-Level Cues and Ultra-Fast Face Detection Crouzet, Sébastien M. Thorpe, Simon J. Front Psychol Psychology Recent experimental work has demonstrated the existence of extremely rapid saccades toward faces in natural scenes that can be initiated only 100 ms after image onset (Crouzet et al., 2010). These ultra-rapid saccades constitute a major challenge to current models of processing in the visual system because they do not seem to leave enough time for even a single feed-forward pass through the ventral stream. Here we explore the possibility that the information required to trigger these very fast saccades could be extracted very early on in visual processing using relatively low-level amplitude spectrum (AS) information in the Fourier domain. Experiment 1 showed that AS normalization can significantly alter face-detection performance. However, a decrease of performance following AS normalization does not alone prove that AS-based information is used (Gaspar and Rousselet, 2009). In Experiment 2, following the Gaspar and Rousselet paper, we used a swapping procedure to clarify the role of AS information in fast object detection. Our experiment is composed of three conditions: (i) original images, (ii) category swapped, in which the face image has the AS of a vehicle, and the vehicle has the AS of a face, and (iii) identity swapped, where the face has the AS of another face image, and the vehicle has the AS of another vehicle image. The results showed very similar levels of performance in the original and identity swapped conditions, and a clear drop in the category swapped condition. This result demonstrates that, in the early temporal window offered by the saccadic choice task, the visual saccadic system does indeed rely on low-level AS information in order to rapidly detect faces. This sort of crude diagnostic information could potentially be derived very early on in the visual system, possibly as early as V1 and V2. Frontiers Research Foundation 2011-11-21 /pmc/articles/PMC3221302/ /pubmed/22125544 http://dx.doi.org/10.3389/fpsyg.2011.00342 Text en Copyright © 2011 Crouzet and Thorpe. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with.
spellingShingle Psychology
Crouzet, Sébastien M.
Thorpe, Simon J.
Low-Level Cues and Ultra-Fast Face Detection
title Low-Level Cues and Ultra-Fast Face Detection
title_full Low-Level Cues and Ultra-Fast Face Detection
title_fullStr Low-Level Cues and Ultra-Fast Face Detection
title_full_unstemmed Low-Level Cues and Ultra-Fast Face Detection
title_short Low-Level Cues and Ultra-Fast Face Detection
title_sort low-level cues and ultra-fast face detection
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3221302/
https://www.ncbi.nlm.nih.gov/pubmed/22125544
http://dx.doi.org/10.3389/fpsyg.2011.00342
work_keys_str_mv AT crouzetsebastienm lowlevelcuesandultrafastfacedetection
AT thorpesimonj lowlevelcuesandultrafastfacedetection