[1]
X. Lin, Y. Zhou, Y. Liu, and C. Zhu, “A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges,”
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 12, pp. 8074–8093, 2024, doi:
10.1109/TPAMI.2024.3400881.
[2]
T. Ehret and J.-M. Morel, “Line Segment Detection: a Review of the 2022 State of the Art,” Image Processing On Line, vol. 14, pp. 41–63, 2024.
[3]
K. Ivanov, G. Ferrer, and A. Kornilova, “EVOLIN Benchmark: Evaluation of Line Detection and Association.” 2023.
[4]
Q. Hou and G. Li, “Semantic Line Detection: A Survey,” in Proceedings of the 12th International Conference on Computer Engineering and Networks, Q. Liu, X. Liu, J. Cheng, T. Shen, and Y. Tian, Eds., Singapore: Springer Nature Singapore, 2022, pp. 1019–1028.
[5]
K. Li, J. Yao, M. Lu, Y. Heng, T. Wu, and Y. Li, “Line segment matching: A benchmark,” in
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 2016, pp. 1–9. doi:
10.1109/WACV.2016.7477726.
[6]
P. S. Rahmdel, R. Comley, D. Shi, and S. McElduff, “A Review of Hough Transform and Line Segment Detection Approaches,” in International Conference on Computer Vision Theory and Applications, 2015.
[7]
P. Mukhopadhyay and B. B. Chaudhuri, “A Survey of Hough Transform,”
Pattern Recogn., vol. 48, no. 3, pp. 993–1010, 2015, doi:
10.1016/j.patcog.2014.08.027.