A minimal algorithm for computing the likelihood of binocular correspondence

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

I present an algorithm for calculating the likelihood of obtaining stereo images under the assumption that both eyes view the same scene, and test this algorithm using numerical simulations. Each stereo pair analyzed was based on two slightly different views of the same three-dimensional (3-D) scene (binocularly correlated) or two entirely different views of unrelated scenes (binocularly uncorrelated). The correlated stereo pair contained local binocular disparities that defined a consistent 3-D structure. A likelihood ratio was computed for each stereo pair, by assuming the increase of the local cross-correlation due to the epipolar constraint for binocular correspondence. For complex, random-dot and natural stereo images, the likelihood ratio correctly predicted whether the two eyes viewed the same 3-D scene. The results indicate that the algorithm proposed here is useful in modeling human stereopsis.

Original languageEnglish
Pages (from-to)4-15
Number of pages12
JournalJapanese Psychological Research
Volume54
Issue number1
DOIs
Publication statusPublished - Mar 1 2012

Fingerprint

Vision Disparity
Depth Perception

All Science Journal Classification (ASJC) codes

  • Psychology(all)

Cite this

A minimal algorithm for computing the likelihood of binocular correspondence. / Mitsudo, Hiroyuki.

In: Japanese Psychological Research, Vol. 54, No. 1, 01.03.2012, p. 4-15.

Research output: Contribution to journalArticle

@article{6f08725c19bb4d8582f9da168e203fd9,
title = "A minimal algorithm for computing the likelihood of binocular correspondence",
abstract = "I present an algorithm for calculating the likelihood of obtaining stereo images under the assumption that both eyes view the same scene, and test this algorithm using numerical simulations. Each stereo pair analyzed was based on two slightly different views of the same three-dimensional (3-D) scene (binocularly correlated) or two entirely different views of unrelated scenes (binocularly uncorrelated). The correlated stereo pair contained local binocular disparities that defined a consistent 3-D structure. A likelihood ratio was computed for each stereo pair, by assuming the increase of the local cross-correlation due to the epipolar constraint for binocular correspondence. For complex, random-dot and natural stereo images, the likelihood ratio correctly predicted whether the two eyes viewed the same 3-D scene. The results indicate that the algorithm proposed here is useful in modeling human stereopsis.",
author = "Hiroyuki Mitsudo",
year = "2012",
month = "3",
day = "1",
doi = "10.1111/j.1468-5884.2011.00504.x",
language = "English",
volume = "54",
pages = "4--15",
journal = "Japanese Psychological Research",
issn = "0021-5368",
publisher = "Wiley-Blackwell",
number = "1",

}

TY - JOUR

T1 - A minimal algorithm for computing the likelihood of binocular correspondence

AU - Mitsudo, Hiroyuki

PY - 2012/3/1

Y1 - 2012/3/1

N2 - I present an algorithm for calculating the likelihood of obtaining stereo images under the assumption that both eyes view the same scene, and test this algorithm using numerical simulations. Each stereo pair analyzed was based on two slightly different views of the same three-dimensional (3-D) scene (binocularly correlated) or two entirely different views of unrelated scenes (binocularly uncorrelated). The correlated stereo pair contained local binocular disparities that defined a consistent 3-D structure. A likelihood ratio was computed for each stereo pair, by assuming the increase of the local cross-correlation due to the epipolar constraint for binocular correspondence. For complex, random-dot and natural stereo images, the likelihood ratio correctly predicted whether the two eyes viewed the same 3-D scene. The results indicate that the algorithm proposed here is useful in modeling human stereopsis.

AB - I present an algorithm for calculating the likelihood of obtaining stereo images under the assumption that both eyes view the same scene, and test this algorithm using numerical simulations. Each stereo pair analyzed was based on two slightly different views of the same three-dimensional (3-D) scene (binocularly correlated) or two entirely different views of unrelated scenes (binocularly uncorrelated). The correlated stereo pair contained local binocular disparities that defined a consistent 3-D structure. A likelihood ratio was computed for each stereo pair, by assuming the increase of the local cross-correlation due to the epipolar constraint for binocular correspondence. For complex, random-dot and natural stereo images, the likelihood ratio correctly predicted whether the two eyes viewed the same 3-D scene. The results indicate that the algorithm proposed here is useful in modeling human stereopsis.

UR - http://www.scopus.com/inward/record.url?scp=84857990284&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84857990284&partnerID=8YFLogxK

U2 - 10.1111/j.1468-5884.2011.00504.x

DO - 10.1111/j.1468-5884.2011.00504.x

M3 - Article

VL - 54

SP - 4

EP - 15

JO - Japanese Psychological Research

JF - Japanese Psychological Research

SN - 0021-5368

IS - 1

ER -