TY - GEN
T1 - ClearLines - Camera Calibration from Straight Lines
AU - Schröder, Gregory
AU - Sabry, Mohamed
AU - Olaverri-Monreal, Cristina
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105014240677
U2 - 10.1109/IV64158.2025.11097392
DO - 10.1109/IV64158.2025.11097392
M3 - Conference proceedings
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 2150
EP - 2155
BT - IEEE Symposium on Intelligent Vehicle
PB - IEEE
ER -