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        <identifier>oai:drops-oai.dagstuhl.de:27549</identifier>
        <datestamp>2026-09-10T05:38:42Z</datestamp>
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          <dc:title>An Extended Qualitative Model for Reasoning About 3D Objects Using Depth and Different Perspectives</dc:title>
          <dc:creator>Ejarque, Martí</dc:creator>
          <dc:creator>Falomir, Zoe</dc:creator>
          <dc:subject>qualitative spatial reasoning</dc:subject>
          <dc:subject>spatial cognition</dc:subject>
          <dc:subject>first order logics</dc:subject>
          <dc:subject>three-dimensional information</dc:subject>
          <dc:subject>perspectives</dc:subject>
          <dc:subject>object perception</dc:subject>
          <dc:subject>SWI-Prolog</dc:subject>
          <dc:description>Reconstructing a three-dimensional structure from partial two-dimensional views requires spatial reasoning. This paper presents the EQ3D, a dimension-agnostic extension of the Qualitative 3D (Q3D) model that generalises qualitative volumetric reasoning to arbitrary H× W× L configurations. EQ3D preserves symbolic depth representations while incorporating adjacent-view propagation rules that increase cross-view inference opportunities. Implemented in SWI-Prolog as a fully declarative pipeline, EQ3D infers hidden views from three orthographic Front-Right-Up views, producing correct inferred cells for the Q3D-Dataset which includes 24 objects of varying size and shape, while ambiguous cells remain explicitly undetermined. Coverage of hidden structure ranges from 26.85% to 82.67%, demonstrating that while inference remains logically sound, the proportion of determinable volume is inherently configuration-dependent. EQ3D provides an interpretable symbolic framework for qualitative 3D reasoning that scales across resolutions without size-specific adaptation.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Martí Ejarque and Zoe Falomir</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 393, 17th International Conference on Spatial Information Theory (COSIT 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.COSIT.2026.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-275490</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2026.5</dc:identifier>
          <dc:language>eng</dc:language>
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