提出清晰直线数据集ClearLines，助力相机标定算法落地户外场景
ClearLines - Camera Calibration from Straight Lines
- 构建专用数据集ClearLines，解决直线检测算法缺乏训练数据问题
- 首次系统标注真实室外场景中的3D直线，支持复杂环境下的标定研究
- 为户外视觉系统开发提供可复现的基准数据，适合算法研发者使用
从直线进行相机标定是几何计算机视觉中的基础问题，理论体系成熟，但实际应用受限，尤其在真实室外场景中。此类环境因场景多样、杂乱、3D直线投影中断及光照变化等因素，使该任务极具挑战性。此外，领域内缺乏专门的数据集来推动相应检测算法的发展。本文提出一个名为“ClearLines”的小型数据集，并详述其构建过程，提供实用洞察，可作为开发和优化3D直线检测算法的参考指南。
原文摘要 · Abstract (English)
The problem of calibration from straight lines is fundamental in geometric computer vision, with well-established theoretical foundations. However, its practical applicability remains limited, particularly in real-world outdoor scenarios. These environments pose significant challenges due to diverse and cluttered scenes, interrupted reprojections of straight 3D lines, and varying lighting conditions, making the task notoriously difficult. Furthermore, the field lacks a dedicated dataset encouraging the development of respective detection algorithms. In this study, we present a small dataset named "ClearLines", and by detailing its creation process, provide practical insights that can serve as a guide for developing and refining straight 3D line detection algorithms.
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。