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Texture and haptic cues in slant discrimination: reliability-based cue weighting without statistically optimal cue combination.

Identifieur interne : 001672 ( PubMed/Checkpoint ); précédent : 001671; suivant : 001673

Texture and haptic cues in slant discrimination: reliability-based cue weighting without statistically optimal cue combination.

Auteurs : Pedro Rosas [Belgique] ; Johan Wagemans ; Marc O. Ernst ; Felix A. Wichmann

Source :

Journal of the Optical Society of America. A, Optics, image science, and vision [ 1084-7529 ] ; 2005.

RBID : pubmed:15898539

English descriptors

KwdEn :
- Cues, Depth Perception (physiology), Discrimination (Psychology) (physiology), Discrimination Learning (physiology), Form Perception (physiology), Humans, Pattern Recognition, Visual (physiology), Photic Stimulation (methods), Touch (physiology).
MESH :
- methods : Photic Stimulation.
- physiology : Depth Perception, Discrimination (Psychology), Discrimination Learning, Form Perception, Pattern Recognition, Visual, Touch.
- Cues, Humans.

Abstract

A number of models of depth-cue combination suggest that the final depth percept results from a weighted average of independent depth estimates based on the different cues available. The weight of each cue in such an average is thought to depend on the reliability of each cue. In principle, such a depth estimation could be statistically optimal in the sense of producing the minimum-variance unbiased estimator that can be constructed from the available information. Here we test such models by using visual and haptic depth information. Different texture types produce differences in slant-discrimination performance, thus providing a means for testing a reliability-sensitive cue-combination model with texture as one of the cues to slant. Our results show that the weights for the cues were generally sensitive to their reliability but fell short of statistically optimal combination--we find reliability-based reweighting but not statistically optimal cue combination.

PubMed: 15898539

Affiliations:

Belgique

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pubmed:15898539

Le document en format XML

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<author><name sortKey="Rosas, Pedro" sort="Rosas, Pedro" uniqKey="Rosas P" first="Pedro" last="Rosas">Pedro Rosas</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Psychology, University of Leuven, Tiensestraat 102, B-3000 Leuven, Belgium. pedro.rosas@tuebingen.mpg.de</nlm:affiliation>
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<author><name sortKey="Wagemans, Johan" sort="Wagemans, Johan" uniqKey="Wagemans J" first="Johan" last="Wagemans">Johan Wagemans</name>
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<author><name sortKey="Ernst, Marc O" sort="Ernst, Marc O" uniqKey="Ernst M" first="Marc O" last="Ernst">Marc O. Ernst</name>
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<author><name sortKey="Wichmann, Felix A" sort="Wichmann, Felix A" uniqKey="Wichmann F" first="Felix A" last="Wichmann">Felix A. Wichmann</name>
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<author><name sortKey="Ernst, Marc O" sort="Ernst, Marc O" uniqKey="Ernst M" first="Marc O" last="Ernst">Marc O. Ernst</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Cues</term>
<term>Depth Perception (physiology)</term>
<term>Discrimination (Psychology) (physiology)</term>
<term>Discrimination Learning (physiology)</term>
<term>Form Perception (physiology)</term>
<term>Humans</term>
<term>Pattern Recognition, Visual (physiology)</term>
<term>Photic Stimulation (methods)</term>
<term>Touch (physiology)</term>
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<term>Discrimination Learning</term>
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<term>Pattern Recognition, Visual</term>
<term>Touch</term>
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<front><div type="abstract" xml:lang="en">A number of models of depth-cue combination suggest that the final depth percept results from a weighted average of independent depth estimates based on the different cues available. The weight of each cue in such an average is thought to depend on the reliability of each cue. In principle, such a depth estimation could be statistically optimal in the sense of producing the minimum-variance unbiased estimator that can be constructed from the available information. Here we test such models by using visual and haptic depth information. Different texture types produce differences in slant-discrimination performance, thus providing a means for testing a reliability-sensitive cue-combination model with texture as one of the cues to slant. Our results show that the weights for the cues were generally sensitive to their reliability but fell short of statistically optimal combination--we find reliability-based reweighting but not statistically optimal cue combination.</div>
</front>
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<DateCreated><Year>2005</Year>
<Month>05</Month>
<Day>18</Day>
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<DateCompleted><Year>2005</Year>
<Month>06</Month>
<Day>28</Day>
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<Issue>5</Issue>
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<Title>Journal of the Optical Society of America. A, Optics, image science, and vision</Title>
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<ArticleTitle>Texture and haptic cues in slant discrimination: reliability-based cue weighting without statistically optimal cue combination.</ArticleTitle>
<Pagination><MedlinePgn>801-9</MedlinePgn>
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<Abstract><AbstractText>A number of models of depth-cue combination suggest that the final depth percept results from a weighted average of independent depth estimates based on the different cues available. The weight of each cue in such an average is thought to depend on the reliability of each cue. In principle, such a depth estimation could be statistically optimal in the sense of producing the minimum-variance unbiased estimator that can be constructed from the available information. Here we test such models by using visual and haptic depth information. Different texture types produce differences in slant-discrimination performance, thus providing a means for testing a reliability-sensitive cue-combination model with texture as one of the cues to slant. Our results show that the weights for the cues were generally sensitive to their reliability but fell short of statistically optimal combination--we find reliability-based reweighting but not statistically optimal cue combination.</AbstractText>
</Abstract>
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<QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D004193">Discrimination Learning</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D005556">Form Perception</DescriptorName>
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<affiliations><list><country><li>Belgique</li>
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<tree><noCountry><name sortKey="Ernst, Marc O" sort="Ernst, Marc O" uniqKey="Ernst M" first="Marc O" last="Ernst">Marc O. Ernst</name>
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<name sortKey="Wichmann, Felix A" sort="Wichmann, Felix A" uniqKey="Wichmann F" first="Felix A" last="Wichmann">Felix A. Wichmann</name>
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Texture and haptic cues in slant discrimination: reliability-based cue weighting without statistically optimal cue combination.

Texture and haptic cues in slant discrimination: reliability-based cue weighting without statistically optimal cue combination.

Source :

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki