Illusory volumes in human stereo perception

Hiroshi Ishikawa, Davi Geiger

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Any complete theory of human stereopsis must model not only how the correspondences between locations in the two views are determined and the depths are recovered from their disparity, but also how the ambiguity arising from such factors as noise, periodicity, and large regions of constant intensity are resolved and missing data are interpolated. In investigating this process of recovering surface structure from sparse disparity information, using stereo pairs with sparse identifiable features, we made an observation that contradicts all extant models. It suggests the inadequacy of retinotopic representation in modeling surface perception in this stage. We also suggest a possible alternative theory, which is a minimization of the modulus of Gaussian curvature.

Original languageEnglish
Pages (from-to)171-178
Number of pages8
JournalVision Research
Volume46
Issue number1-2
DOIs
Publication statusPublished - 2006 Jan
Externally publishedYes

Fingerprint

Depth Perception
Periodicity
Noise
Observation

Keywords

  • Computational model
  • Depth interpolation
  • Statistical modeling
  • Stereopsis

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems

Cite this

Illusory volumes in human stereo perception. / Ishikawa, Hiroshi; Geiger, Davi.

In: Vision Research, Vol. 46, No. 1-2, 01.2006, p. 171-178.

Research output: Contribution to journalArticle

Ishikawa, Hiroshi ; Geiger, Davi. / Illusory volumes in human stereo perception. In: Vision Research. 2006 ; Vol. 46, No. 1-2. pp. 171-178.
@article{425267e4056948209adcf05716b6774c,
title = "Illusory volumes in human stereo perception",
abstract = "Any complete theory of human stereopsis must model not only how the correspondences between locations in the two views are determined and the depths are recovered from their disparity, but also how the ambiguity arising from such factors as noise, periodicity, and large regions of constant intensity are resolved and missing data are interpolated. In investigating this process of recovering surface structure from sparse disparity information, using stereo pairs with sparse identifiable features, we made an observation that contradicts all extant models. It suggests the inadequacy of retinotopic representation in modeling surface perception in this stage. We also suggest a possible alternative theory, which is a minimization of the modulus of Gaussian curvature.",
keywords = "Computational model, Depth interpolation, Statistical modeling, Stereopsis",
author = "Hiroshi Ishikawa and Davi Geiger",
year = "2006",
month = "1",
doi = "10.1016/j.visres.2005.06.028",
language = "English",
volume = "46",
pages = "171--178",
journal = "Vision Research",
issn = "0042-6989",
publisher = "Elsevier Limited",
number = "1-2",

}

TY - JOUR

T1 - Illusory volumes in human stereo perception

AU - Ishikawa, Hiroshi

AU - Geiger, Davi

PY - 2006/1

Y1 - 2006/1

N2 - Any complete theory of human stereopsis must model not only how the correspondences between locations in the two views are determined and the depths are recovered from their disparity, but also how the ambiguity arising from such factors as noise, periodicity, and large regions of constant intensity are resolved and missing data are interpolated. In investigating this process of recovering surface structure from sparse disparity information, using stereo pairs with sparse identifiable features, we made an observation that contradicts all extant models. It suggests the inadequacy of retinotopic representation in modeling surface perception in this stage. We also suggest a possible alternative theory, which is a minimization of the modulus of Gaussian curvature.

AB - Any complete theory of human stereopsis must model not only how the correspondences between locations in the two views are determined and the depths are recovered from their disparity, but also how the ambiguity arising from such factors as noise, periodicity, and large regions of constant intensity are resolved and missing data are interpolated. In investigating this process of recovering surface structure from sparse disparity information, using stereo pairs with sparse identifiable features, we made an observation that contradicts all extant models. It suggests the inadequacy of retinotopic representation in modeling surface perception in this stage. We also suggest a possible alternative theory, which is a minimization of the modulus of Gaussian curvature.

KW - Computational model

KW - Depth interpolation

KW - Statistical modeling

KW - Stereopsis

UR - http://www.scopus.com/inward/record.url?scp=28744452637&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=28744452637&partnerID=8YFLogxK

U2 - 10.1016/j.visres.2005.06.028

DO - 10.1016/j.visres.2005.06.028

M3 - Article

C2 - 16095650

AN - SCOPUS:28744452637

VL - 46

SP - 171

EP - 178

JO - Vision Research

JF - Vision Research

SN - 0042-6989

IS - 1-2

ER -