Comparing Qualitative Object Descriptors Using a Visual Similarity Measure

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Zoe Falomir, Vicent Costa

Published: 01 Jan 2025, Last Modified: 04 Oct 2025MDAI 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: 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.