Mental visualization of objects from cross-sectional images
Identifieur interne : 001133 ( Pmc/Curation ); précédent : 001132; suivant : 001134Mental visualization of objects from cross-sectional images
Auteurs : Bing Wu ; Roberta L. Klatzky ; George D. StettenSource :
- Cognition [ 0010-0277 ] ; 2012.
Abstract
We extended the classic anorthoscopic viewing procedure to test a model of visualization of 3D structures from 2D cross-sections. Four experiments were conducted to examine key processes described in the model, localizing cross-sections within a common frame of reference and spatiotemporal integration of cross sections into a hierarchical object representation. Participants used a hand-held device to reveal a hidden object as a sequence of cross-sectional images. The process of localization was manipulated by contrasting two displays,
Url:
DOI: 10.1016/j.cognition.2011.12.004
PubMed: 22217386
PubMed Central: 3278572
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<author><name sortKey="Wu, Bing" sort="Wu, Bing" uniqKey="Wu B" first="Bing" last="Wu">Bing Wu</name>
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<author><name sortKey="Klatzky, Roberta L" sort="Klatzky, Roberta L" uniqKey="Klatzky R" first="Roberta L." last="Klatzky">Roberta L. Klatzky</name>
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<series><title level="j">Cognition</title>
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<front><div type="abstract" xml:lang="en"><p id="P2">We extended the classic anorthoscopic viewing procedure to test a model of visualization of 3D structures from 2D cross-sections. Four experiments were conducted to examine key processes described in the model, localizing cross-sections within a common frame of reference and spatiotemporal integration of cross sections into a hierarchical object representation. Participants used a hand-held device to reveal a hidden object as a sequence of cross-sectional images. The process of localization was manipulated by contrasting two displays, <italic>in-situ</italic>
vs. <italic>ex-situ</italic>
, which differed in whether cross sections were presented at their source locations or displaced to a remote screen. The process of integration was manipulated by varying the structural complexity of target objects and their components. Experiments 1 and 2 demonstrated visualization of 2D and 3D line-segment objects and verified predictions about display and complexity effects. In Experiments 3 and 4, the visualized forms were familiar letters and numbers. Errors and orientation effects showed that displacing cross-sectional images to a remote display (<italic>ex-situ</italic>
viewing) impeded the ability to determine spatial relationships among pattern components, a failure of integration at the object level.</p>
</div>
</front>
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<pmc article-type="research-article" xml:lang="en"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">0367541</journal-id>
<journal-id journal-id-type="pubmed-jr-id">3097</journal-id>
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<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>Mental visualization of objects from cross-sectional images</article-title>
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<contrib-group><contrib contrib-type="author"><name><surname>Wu</surname>
<given-names>Bing</given-names>
</name>
<aff id="A1">Cognitive Science and Engineering Program, Arizona State University, Mesa</aff>
</contrib>
<contrib contrib-type="author"><name><surname>Klatzky</surname>
<given-names>Roberta L.</given-names>
</name>
<aff id="A2">Department of Psychology and Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh</aff>
</contrib>
<contrib contrib-type="author"><name><surname>Stetten</surname>
<given-names>George D.</given-names>
</name>
<aff id="A3">Robotics Institute, Carnegie Mellon University, Pittsburgh and Department of Biomedical Engineering, University of Pittsburgh, Pittsburgh</aff>
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<author-notes><corresp id="FN1">Correspondence concerning this article should be addressed to Bing Wu, Cognitive Science and Engineering Program, Arizona State University, 7271 E. Sonoran Arroyo Mall, Mesa, AZ 85212, USA. <email>Bing.Wu@asu.edu</email>
</corresp>
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<pub-date pub-type="nihms-submitted"><day>20</day>
<month>12</month>
<year>2011</year>
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<pub-date pub-type="epub"><day>2</day>
<month>1</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="ppub"><month>4</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>1</day>
<month>4</month>
<year>2013</year>
</pub-date>
<volume>123</volume>
<issue>1</issue>
<fpage>33</fpage>
<lpage>49</lpage>
<permissions><copyright-statement>© 2011 Elsevier B.V. All rights reserved.</copyright-statement>
<copyright-year>2011</copyright-year>
</permissions>
<abstract><p id="P2">We extended the classic anorthoscopic viewing procedure to test a model of visualization of 3D structures from 2D cross-sections. Four experiments were conducted to examine key processes described in the model, localizing cross-sections within a common frame of reference and spatiotemporal integration of cross sections into a hierarchical object representation. Participants used a hand-held device to reveal a hidden object as a sequence of cross-sectional images. The process of localization was manipulated by contrasting two displays, <italic>in-situ</italic>
vs. <italic>ex-situ</italic>
, which differed in whether cross sections were presented at their source locations or displaced to a remote screen. The process of integration was manipulated by varying the structural complexity of target objects and their components. Experiments 1 and 2 demonstrated visualization of 2D and 3D line-segment objects and verified predictions about display and complexity effects. In Experiments 3 and 4, the visualized forms were familiar letters and numbers. Errors and orientation effects showed that displacing cross-sectional images to a remote display (<italic>ex-situ</italic>
viewing) impeded the ability to determine spatial relationships among pattern components, a failure of integration at the object level.</p>
</abstract>
<kwd-group><kwd>visualization</kwd>
<kwd>integration</kwd>
<kwd>spatiotemporal</kwd>
<kwd>anorthoscopic</kwd>
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<funding-group><award-group><funding-source country="United States">National Institute of Biomedical Imaging and Bioengineering : NIBIB</funding-source>
<award-id>R01 EB000860-04 || EB</award-id>
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<award-group><funding-source country="United States">National Institute of Biomedical Imaging and Bioengineering : NIBIB</funding-source>
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