Mobile QR Code QR CODE

Journal of the Korea Concrete Institute

J Korea Inst. Struct. Maint. Insp.
  • Indexed by
  • Korea Citation Index (KCI)

Journal Search

  1. Home
  2. All Issues
  3. 2023-10 (Vol.27 No.5)
  4. 10.11112/jksmi.2023.27.5.49
XML PDF INFO REF

References

1 
Bay, H., Tuytelaars, T., and Van Gool, L. (2006), Surf: Speeded up robust features. In Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006. Proceedings, Part I 9, Springer Berlin Heidelberg, 404-417.URL
2 
Chen, L. C., Zhu, Y., Papandreou, G., Schroff, F., and Adam, H. (2018), Encoder-decoder with atrous separable convolution for semantic image segmentation, In Proceedings of the European conference on computer vision (ECCV), 801-818.URL
3 
Fischler, M. A., and Bolles, R. C. (1981), Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM, 24(6), 381-395.DOI
4 
Hamishebahar, Y., Guan, H., So, S., and Jo, J. (2022), A comprehensive review of deep learning-based crack detection approaches, Applied Sciences, 12(3), 1374.DOI
5 
Jeong, D., Lee, J., and Ju, Y. (2019), Photogrammetric Crack Detection Method in Building using Unmanned Aerial Vehicle, Journal of the Architectural Institute of Korea Structure & Construction, 35(1), 11-19 (In Korean, with English abstract).URL
6 
Juan, L., and Gwun, O. (2009), A comparison of sift, pca-sift and surf, International Journal of Image Processing (IJIP), 3(4), 143-152.URL
7 
Karami, E., Prasad, S., and Shehata, M. (2017), Image matching using SIFT, SURF, BRIEF and ORB: performance comparison for distorted images, arXiv preprint. arXiv:1710.02726.DOI
8 
Kim, B., and Cho, S. (2019), Image-based Concrete Crack Assessment using Mask and Region-based Convolutional Neural Network, Structural Control and Health Monitoring, 26(8), e2381(1-15).DOI
9 
Lee, S., Lee, K., Choi, H., and Lim, C. (2022), Establishment of a standard procedure for safety inspections of bridges using drones, KSCE Journal of Civil and Environmental Engineering Research, 42(2), 281-290 (In Korean, with English abstract).DOI
10 
Lowe, D. G. (2004), Distinctive image features from scale- invariant keypoints, International Journal of Computer Vision, 60, 91-110.DOI
11 
Mistry, D., and Banerjee, A. (2017), Comparison of feature detection and matching approaches: SIFT and SURF, GRD Journals-Global Research and Development Journal for Engineering, 2(4), 7-13.URL
12 
Torr, P. H., and Zisserman, A. (2000), MLESAC: A new robust estimator with application to estimating image geometry, Computer Vision and Image Understanding, 78(1), 138-156.DOI