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<p>Building facade structures form the foundation for 3D model reconstructions, making the extraction of facade structures from 3D point clouds a key research area. A method for extracting the building facade structure from image-based laser point clouds by considering semantic information is proposed. First, point cloud segmentation and clustering are applied to organize the data into distinct planes. Second, semantic images and corresponding semantic image laser point cloud models are generated from each plane. Finally, an enhanced method named as SemColorED extracts the facade structures, and followed by optimization based on building morphology. Evaluation of the method using actual 3D laser point cloud data and the Semantic3D dataset shows improved accuracy, recall, and integrity compared to the current methods.</p>

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Image-based laser point cloud building facade structure extraction method by considering semantic information

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月12日

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  • Xiaoyu Hu,
  • Yongzhi Wang,
  • Wanjing Yu

摘要

Building facade structures form the foundation for 3D model reconstructions, making the extraction of facade structures from 3D point clouds a key research area. A method for extracting the building facade structure from image-based laser point clouds by considering semantic information is proposed. First, point cloud segmentation and clustering are applied to organize the data into distinct planes. Second, semantic images and corresponding semantic image laser point cloud models are generated from each plane. Finally, an enhanced method named as SemColorED extracts the facade structures, and followed by optimization based on building morphology. Evaluation of the method using actual 3D laser point cloud data and the Semantic3D dataset shows improved accuracy, recall, and integrity compared to the current methods.