通过对齐锚点组实现高精度、完整度高的线段检测
Aligned Anchor Groups Guided Line Segment Detector
- 基于分层提取具有显著性的锚点与对齐锚点组
- 从对齐锚点组出发逐次连接并实时更新线段预测
- 无需复杂优化，直接验证合并相邻线段即可得结果
本文提出一种新型线段检测器——对齐锚点组引导的线段检测器（AAGLSD），旨在高精度、高完整性地从图像中检测线段。该算法采用分层策略，提取不同显著性水平的候选像素，包括常规锚点和对齐锚点组。AAGLSD从对齐锚点组出发，逐次连接锚点并同步更新当前预测的线段。最终预测通过简单的相邻线段验证与合并获得，避免了复杂的精化策略。在多个数据集上的定量实验表明，相较于其他先进线段检测器，该方法能更有效地从输入图像中提取完整的线段。代码已开源：https://github.com/zyl0609/AAGLSD。
原文摘要 · Abstract (English)
This paper introduces a novel line segment detector, the Aligned Anchor Groups guided Line Segment Detector (AAGLSD), designed to detect line segments from images with high precision and completeness. The algorithm employs a hierarchical approach to extract candidate pixels with different saliency levels, including regular anchors and aligned anchor groups. AAGLSD initiates from these aligned anchor groups, sequentially linking anchors and updating the currently predicted line segment simultaneously. The final predictions are derived through straightforward validation and merging of adjacent line segments, avoiding complex refinement strategies. AAGLSD is evaluated on various datasets and quantitative experiments demonstrate that the proposed method can effectively extract complete line segments from input images compared to other advanced line segment detectors. The implementation is available at https://github.com/zyl0609/AAGLSD.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。