Cited by 206

The DOI matches its Crossref record.

Effects of high-pass and low-pass spatial filtering on face identification

Costen, Nicholas P., Parker, Denis M., Craw, Ian·1996·Perception & Psychophysics

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3758/bf03213093

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A minimum horizontal pixel count of 10-16 per face for a known face and 20 pixels for an unknown face is considered the bare minimum for successful identification in frontal view.

    “A minimum horizontal pixel count of 10–16 per face for a known face [121,123,124] and 20 pixels for an unknown face [92] is considered the bare minimum for successful identification in frontal view.”

    From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [124]

    The Results report that identification of pixelized faces declined below 23 horizontal pixels per face, while the Discussion places the useful range at 16–32 pixels per face. The paper therefore supports the importance of resolution around 16 pixels, but not 10–16 pixels as a general bare minimum for identifying a known face. The separate 20-pixel claim for unknown faces is attached to citation [92], not this source. (LLM, conf=0.83)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 30

  1. Bachmann, T. (1991). Identification of spatially quantised tachistoscopic images of faces: How many pixels does it take to carry identity?European Journal of Cognitive Psychology,3, 85–103. · DOI · Paper page
  2. Biederman, I. (1987). Recognition-by-components: A theory of human image understanding.Psychological Review,94, 115–146. · DOI · Paper page
  3. Bruce, V., Burton, A. M., &Dench, N. (1994). What’s distinctive about a distinctive face?Quarterly Journal of Experimental Psychology,47A, 119–141. · DOI
  4. Bruce, V., Coombes, A., &Richards, R. (1993). Describing the shape of faces using surface primitives.Image & Vision Computing,11, 353–363. · DOI
  5. Bruyer, R. (1988). Some masked inconstancies about constancy.Brain & Cognition,7, 374–376. · DOI
  6. Campbell, F. W., &Green, D. C. (1965). Optical and retinal factors affecting visual acuity.Journal of Physiology,181, 576–593. · DOI
  7. Costen, N. P., Parker, D. M., &Craw, I. (1994). Spatial content and spatial quantisation effects in face recognition.Perception,23, 129–146. · DOI · Paper page
  8. Edwards, R. E. (1967).Fourier series: A modern introduction. New York: Holt, Rinehart & Winston.
  9. Fiorentini, A., Maffei, L., &Sandini, G. (1983). The role of high spatial frequencies in face perception.Perception,12, 195–201. · DOI
  10. Harmon, L. D. (1973). The recognition of faces.Scientific American,229(5), 70–83. · DOI
  11. Harmon, L. D., &Julesz, B. (1973, June 15). Masking in visual recognition: Effects of two-dimensional noise.Science,180, 1194–1197. · DOI
  12. Hayes, A., Morrone, M. C., &Burr, D. C. (1986). Recognition of positive and negative bandpass-filtered images.Perception,15, 595–602. · DOI
  13. Hummel, J. E., &Biederman, I. (1992). Dynamic binding in a neural network for shape recognition.Psychological Review,99, 480–517. · DOI
  14. Keenan, P. A., Witman, R., &Pepe, J. (1989). Hemispheric asymmetry in the processing of high and low spatial frequencies: A facial recognition task.Brain & Cognition,11, 229–237. · DOI
  15. Keenan, P. A., Witman, R., &Pepe, J. (1990). Hemispheric asymmetry in the processing of high and low spatial frequencies: A facial recognition task erratum.Brain & Cognition,13, 130. · DOI
  16. Landy, M. S., Cohen, Y., &Sperling, G. (1984). HIPS: Image processing under UNIX. Software and applications.Behavior Research Methods, Instruments, & Computers,16, 199–216. · DOI
  17. Michelson, A. A. (1962).Studies in optics. Chicago: University of Chicago Press. (Original work published 1927)
  18. Morrone, M. C., Burr, D. C., &Ross, J. (1983). Added noise restores recognizability of coarse quantized images.Nature,305, 226–228. · DOI
  19. Moscovitch, M. (1988). Further analyses of masking functions in laterality studies of face-perception.Brain & Cognition,7, 377–380. · DOI
  20. Moscovitch, M., &Radzins, M. (1987). Backward masking of lateralized faces by noise, pattern, and spatial frequency.Brain & Cognition,6, 72–90. · DOI
  21. Moulden, B., Kingdom, F., &Gatley, L. F. (1990). The standard deviation of luminance as a metric for contrast in random-dot images.Perception,19, 79–101. · DOI
  22. O’Toole, A. J., Abdi, H., Deffenbacher, K. A., &Valentin, D. (1993). Low-dimensional representation of faces in higher dimensions of the face space.Journal of the Optical Society of America,10, 405–411. · DOI
  23. O’Toole, A. J., Deffenbacher, K. A., Valentin, D., &Abdi, H. (1994). Structural aspects of face recognition and the other-race effect.Memory & Cognition,22, 208–224. · DOI
  24. Parker, D. M. (1980). Simple reaction times to the onset, offset, and contrast reversal of sinusoidal grating stimuli.Perception & Psychophysics,28, 365–368. · DOI
  25. Schuchard, R. A., &Rubin, G. S. (1989). Face identification of bandpass filtered faces by low vision observers [Abstract].Investigative Ophthalmology & Visual Science,30(3, Suppl.), 396.
  26. Sergent, J. (1986). Microgenesis of face perception. In H. D. Ellis, M. A. Jeeves, F. Newcombe, & A. Young (Eds.),Aspects of face processing (pp. 17–73). Dordrecht: Martinus Nijhoff. · DOI
  27. Shepherd, J. W. (1986). An interactive computer system for retrieving faces. In H.D. Ellis, M. A. Jeeves, F. Newcombe, & A.Young (Eds.),Aspects of face processing (pp. 398–409). Dordrecht: Martinus Nijhoff. · DOI
  28. Tieger, T., &Ganz, L. (1979). Recognition of faces in the presence of two-dimensional sinusoidal masks.Perception & Psychophysics,26, 163–167. · DOI
  29. Ullman, S. (1989). Aligning pictorial descriptions: An approach to object recognition.Cognition,32, 193–254. · DOI
  30. Vokey, J. R., &Read, J. D. (1992). Familiarity, memorability, and the effect of typicality on the recognition of faces.Memory & Cognition,20, 291–302. · DOI · Paper page

Cited by

Sorted by citations

Metadata

Authors
Costen, N. P., Parker, D. M., & Craw, I.
Venue
Perception & Psychophysics
Published
1996-06
Volume
58
Issue
4
Pages
602-612
ISSN
  • 0031-5117
  • 1532-5962
Cited by
206
References
0
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review