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When we humans observe objects, we take views and perspectives. These views can present different features depending on the location observed, which are oriented or symmetric. This paper presents a Qualitative Object Descriptor (QOD) to model objects as embedded in a 3D cube. The QOD extracts a spatial descriptor of an object which allows human understanding. This paper also presents a visual similarity measure for QOD (SimVis) which has been used to analyze the similarity between scenes that contain pairs of objects as those in the Cube Comparison Test (CCT) which has been extensively used in the literature to measure spatial skills in people.

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Comparing Qualitative Object Descriptors Using a Visual Similarity Measure

  • 会议论文

  • 发表日期：

    2026年

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  • Zoe Falomir,
  • Vicent Costa

摘要

When we humans observe objects, we take views and perspectives. These views can present different features depending on the location observed, which are oriented or symmetric. This paper presents a Qualitative Object Descriptor (QOD) to model objects as embedded in a 3D cube. The QOD extracts a spatial descriptor of an object which allows human understanding. This paper also presents a visual similarity measure for QOD (SimVis) which has been used to analyze the similarity between scenes that contain pairs of objects as those in the Cube Comparison Test (CCT) which has been extensively used in the literature to measure spatial skills in people.