Aligned Anchor Groups Guided Line Segment Detector
This addresses the problem of accurate line segment detection for computer vision applications, but it appears incremental as it builds on existing line segment detectors.
The paper tackled the problem of detecting line segments from images with high precision and completeness, and the result was that the proposed AAGLSD method effectively extracts complete line segments, as demonstrated in quantitative experiments on various datasets.
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/LLiDaBao/AAGLSD.