A psychophysical evaluation of the a contrario detection theory

S. BLUSSEAU; A. CARBONI; A. MAICHE; J. M. MOREL; R. GROMPONE VON GIOI

doi:10.1109/ICIP.2014.7025217

A psychophysical evaluation of the a contrario detection theory

S. BLUSSEAU, A. CARBONI, A. MAICHE, J. M. MOREL, R. GROMPONE VON GIOI

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

3 Citations (Scopus)

Abstract

The a contrario theory is a mathematical formalization of the so-called non-accidentalness principle of perception, which states that an observed configuration is relevant only when it is unlikely to appear just by chance. It has been successfully applied to several image processing and computer vision problems. In this paper, human vision is compared to an a contrario based algorithm in a simple perceptual task. For this aim, a psychophysical experiment was set up, in which subjects and the algorithm were asked to detect alignments of Gabor patches. We found that the proposed algorithm predicted accurately the subjects' responses, therefore providing an interpretation to perceptual thresholds.

Original language	English
Title of host publication	Proceedings of the 2014 IEEE International Conference on Image Processing, ICIP 2014
Publisher	IEEE
Pages	1091-1095
Number of pages	5
ISBN (Electronic)	9781479957514
DOIs	https://doi.org/10.1109/ICIP.2014.7025217
Publication status	Published - Oct 2014
Externally published	Yes
Event	2014 IEEE International Conference on Image Processing, ICIP 2014 - Paris, France Duration: 27 Oct 2014 → 30 Oct 2014

Conference

Conference	2014 IEEE International Conference on Image Processing, ICIP 2014
Country/Territory	France
City	Paris
Period	27/10/14 → 30/10/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

A-contrario detection
Computer vision
Detection algorithms
Psychometric testing

Access to Document

10.1109/ICIP.2014.7025217

Cite this

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title = "A psychophysical evaluation of the a contrario detection theory",

abstract = "The a contrario theory is a mathematical formalization of the so-called non-accidentalness principle of perception, which states that an observed configuration is relevant only when it is unlikely to appear just by chance. It has been successfully applied to several image processing and computer vision problems. In this paper, human vision is compared to an a contrario based algorithm in a simple perceptual task. For this aim, a psychophysical experiment was set up, in which subjects and the algorithm were asked to detect alignments of Gabor patches. We found that the proposed algorithm predicted accurately the subjects' responses, therefore providing an interpretation to perceptual thresholds.",

keywords = "A-contrario detection, Computer vision, Detection algorithms, Psychometric testing",

author = "S. BLUSSEAU and A. CARBONI and A. MAICHE and MOREL, \{J. M.\} and \{GROMPONE VON GIOI\}, R.",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Image Processing, ICIP 2014 ; Conference date: 27-10-2014 Through 30-10-2014",

year = "2014",

month = oct,

doi = "10.1109/ICIP.2014.7025217",

language = "English",

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booktitle = "Proceedings of the 2014 IEEE International Conference on Image Processing, ICIP 2014",

publisher = "IEEE",

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BLUSSEAU, S, CARBONI, A, MAICHE, A, MOREL, JM & GROMPONE VON GIOI, R 2014, A psychophysical evaluation of the a contrario detection theory. in Proceedings of the 2014 IEEE International Conference on Image Processing, ICIP 2014., 7025217, IEEE, pp. 1091-1095, 2014 IEEE International Conference on Image Processing, ICIP 2014, Paris, France, 27/10/14. https://doi.org/10.1109/ICIP.2014.7025217

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AU - MAICHE, A.

AU - MOREL, J. M.

AU - GROMPONE VON GIOI, R.

PY - 2014/10

Y1 - 2014/10

N2 - The a contrario theory is a mathematical formalization of the so-called non-accidentalness principle of perception, which states that an observed configuration is relevant only when it is unlikely to appear just by chance. It has been successfully applied to several image processing and computer vision problems. In this paper, human vision is compared to an a contrario based algorithm in a simple perceptual task. For this aim, a psychophysical experiment was set up, in which subjects and the algorithm were asked to detect alignments of Gabor patches. We found that the proposed algorithm predicted accurately the subjects' responses, therefore providing an interpretation to perceptual thresholds.

AB - The a contrario theory is a mathematical formalization of the so-called non-accidentalness principle of perception, which states that an observed configuration is relevant only when it is unlikely to appear just by chance. It has been successfully applied to several image processing and computer vision problems. In this paper, human vision is compared to an a contrario based algorithm in a simple perceptual task. For this aim, a psychophysical experiment was set up, in which subjects and the algorithm were asked to detect alignments of Gabor patches. We found that the proposed algorithm predicted accurately the subjects' responses, therefore providing an interpretation to perceptual thresholds.

KW - A-contrario detection

KW - Computer vision

KW - Detection algorithms

KW - Psychometric testing

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M3 - Conference paper (refereed)

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BT - Proceedings of the 2014 IEEE International Conference on Image Processing, ICIP 2014

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T2 - 2014 IEEE International Conference on Image Processing, ICIP 2014

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ER -

A psychophysical evaluation of the a contrario detection theory

Abstract

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Keywords

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