Abstract
A novel approach for line matching is proposed, aimed at achieving good performance with low-textured scenes, under uncontrolled illumination conditions. Line matching is performed by an iterative process that uses structural information collected through the use of different line neighbourhoods, making the set of matched lines grows robustly at each iteration. Results show that this approach is suitable to deal with low-textured scenes, and also robust under a wide variety of image transformations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Mindru, F., Tuytelaars, T., Van Gool, L., Moons, T.: Moment invariants for recognition under changing viewpoint and illumination. Comput. Vis. Image Underst. 94, 3–27 (2004)
Freeman, W.T., Adelson, E.H.: The design and use of steerable filters. IEEE Trans. Pattern Anal. Mach. Intell. 13, 891–906 (1991)
Montesinos, P., Gouet, V., Deriche, R.: Differential invariants for color images. In: Proceedings of ICPR 1998, Recognition, pp. 838–840 (1998)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60, 91–110 (2004)
Wang, L., Neumann, U., You, S.: Wide-baseline image matching using Line Signatures. In: Proceedings of ICCV 2009, pp. 1311–1318 (2009)
López, J., Fuciños, M., Fdez-Vidal, X.R., Pardo, X.M.: Detection and matching of lines for close-range photogrammetry. In: Sanches, J.M., Micó, L., Cardoso, J.S. (eds.) IbPRIA 2013. LNCS, vol. 7887, pp. 732–739. Springer, Heidelberg (2013)
Yang, Z., Cohen, S.: Image registration and object recognition using affine invariants and convex hulls. IEEE Trans. Image Process. 8, 934–946 (1999)
Fan, B., Wu, F., Hu, Z.: Line matching leveraged by point correspondences. In: Proceedings of CVPR2010, pp. 390–397 (2010)
Shao, H., Svoboda, T., Van Gool, L.: HPAT indexing for fast object/scene recognition based on local appearance. In: Bakker, Erwin M., Lew, Michael, Huang, Thomas S., Sebe, Nicu, Zhou, Xiang Sean (eds.) CIVR 2003. LNCS, vol. 2728. Springer, Heidelberg (2003)
Zhang, D.-H., Liang, J., Guo, C.: Photogrammetric 3D measurement method applying to automobile panel. In: Proceedings of the 2nd International Conference on Computer and Automation Engineering (ICCAE), Singapore, February 2010, pp. 70–74
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Santos, R., Fdez-Vidal, X.R., Pardo, X.M. (2015). Adaptive Line Matching for Low-Textured Images. In: Paredes, R., Cardoso, J., Pardo, X. (eds) Pattern Recognition and Image Analysis. IbPRIA 2015. Lecture Notes in Computer Science(), vol 9117. Springer, Cham. https://doi.org/10.1007/978-3-319-19390-8_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-19390-8_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19389-2
Online ISBN: 978-3-319-19390-8
eBook Packages: Computer ScienceComputer Science (R0)