The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The Role of Color in Human Face Detection
Abstract
Significant advances have been made in understanding human face recognition. However, a fundamental aspect of this process, how faces are located in our visual environment, is poorly understood and little studied. Here we examine the role of color in human face detection. We demonstrate that detection performance declines when color information is removed from faces, regardless of whether the surrounding scene context is rendered in color. Furthermore, faces rendered in unnatural colors are hard to detect, suggesting a role beyond simple segmentation. When faces are presented such that half the surface is colored appropriately, and half unnaturally, performance declines. This suggests that observers are not simply using the presence of skin color “patches” to detect faces. Rather, our data suggest that detection operates via a face template combining diagnostic color and face‐shape information. These findings are consistent with color‐template approaches used in some computer‐based face detection systems.
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Color plays an important role in face detection and recognition in humans, even when image quality is poor.
“Color plays an important role in face detection and recognition in humans, even when image quality is poor [117,118].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [118]
The General discussion reports that color faces were detected faster than faces with color removed, and Experiment 2 notes prior evidence that color improves face recognition. The paper does not establish that either advantage persists when image quality is poor; its experiments manipulated color, not image quality. (LLM, conf=0.86)
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Cites
Understanding the recognition of facial identity and facial expression
Calder, A. J., & Young, A. W. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1724 · Cited by 948 · cited 1×
“This is remarkable in that face detection is a prerequisite to any further processing, such as identification or expression analysis, which are tasks that have received a great deal of attention by psychologists (see e.g., Burton, Jenkins, Hancock, & White, 2005; Calder & Young, 2005).”
Visual features of intermediate complexity and their use in classification
Ullman, S., Vidal-Naquet, M., & Sali, E. (2002) · Nature Neuroscience · doi:10.1038/nn870 · Cited by 600
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Research works printed but not linked: 22
- 10.1167/7.10.15 · DOI
- 10.1016/j.cogpsych.2005.06.003 · DOI
- 10.1117/1.2716016 · DOI
- Graf H. P., 1995, Locating faces and facial parts, Proceedings of the First International Workshop on Automatic Face and Gesture Recognition, 41
- 10.1109/AFGR.1996.557248 · DOI
- 10.1006/cviu.2001.0921 · DOI
- 10.1016/j.cognition.2007.07.012 · DOI
- 10.1016/j.bandc.2006.03.002 · DOI
- 10.1068/p5007 · DOI
- 10.1080/13506280444000535 · DOI
- 10.1002/ima.10040 · DOI
- 10.3758/BF03210951 · DOI
- 10.1364/JOSAA.7.001209 · DOI
- 10.1080/13506280600590434 · DOI
- 10.1109/JPROC.2006.884093 · DOI · Paper page
- Tarr M. J., 2001, It’s Pat! Sexing faces using only red and green, Journal of Vision, 1
- 10.3758/BF03212219 · DOI · Paper page
- Treisman A., 1993, Attention: Awareness, selection, and control, 5
- 10.1016/0010-0285(80)90005-5 · DOI · Paper page
- 10.1109/34.982883 · DOI
- 10.1109/ACV.1996.572043 · DOI
- 10.1068/p3376 · DOI · Paper page
Cited by
Sorted by citations
Forensic Facial Comparison: Current Status, Limitations, and Future Directions
Bacci, N., Davimes, J. G., Steyn, M., & Briers, N. (2021) · Biology · doi:10.3390/biology10121269 · Cited by 26
Metadata
- Authors
- Bindemann, M., & Burton, A. M.
- Venue
- Cognitive Science
- Publisher
- Wiley
- Published
- 2009-07-23
- Volume
- 33
- Issue
- 6
- Pages
- 1144-1156
- ISSN
- 0364-0213
- 1551-6709
- Cited by
- 43
- References
- 2
- Language
- en
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