CVMay 1, 2025

ClearLines - Camera Calibration from Straight Lines

arXiv:2505.00452v1h-index: 32025 IEEE Intelligent Vehicles Symposium (IV)
Originality Synthesis-oriented
AI Analysis

This addresses a fundamental but limited practical problem in geometric computer vision for researchers and practitioners, but it is incremental as it focuses on dataset creation.

They tackled the problem of camera calibration from straight lines in real-world outdoor scenarios by presenting a small dataset named 'ClearLines', providing practical insights for developing detection algorithms.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes