Research on 3D Building Individualization Technology Based on Spatial Constraints

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The proposed method achieves an IoU of 91.5% in commercial dense areas, improving traditional methods by 21.3%.
Direction error reduces to 3.2°, demonstrating a 74% decrease in extraction precision.
The method processes a single scene in just 218 seconds, achieving a 32% reduction in time.
Memory usage is improved by 26%, indicating efficiency in computational resources.

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Proposed method improves building footprint extraction in urban settings, suggesting efficiency increases in digital modeling.

Liu et al. (2025) studied this question.

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