An underwater stereo matching method based on ORB features

Li Jiakuan; Sun Chunsheng; Hu Yiming; Yu Hongzhi

doi:10.12086/oee.2019.180456

[5] Sanchez-Ferreira C, Mori J Y, Llanos C H, et al. Development of a stereo vision measurement architecture for an underwater robot[C]//2013 IEEE 4th Latin American Symposium on Circuits and Systems, 2013: 1–4.

[6] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91–110.

[7] Lowe D G. Object recognition from local scale-invariant fea-tures[C]//Proceedings of the Seventh IEEE International Con-ference on Computer Vision, 1999, 2: 1150–1157.

[8] Rublee E, Rabaud V, Konolige K, et al. ORB: An efficient al-ternative to SIFT or SURF[C]//2011 IEEE International Confe-rence on Computer Vision, 2011: 2564–2571.

[10] Gedge J, Gong M L, Yang Y H. Refractive epipolar geometry for underwater stereo matching[C]//2011 Canadian Conference on Computer and Robot Vision, 2011: 146–152.

[11] Li J, Pan T S, Tseng K K, et al. Design of a monocular simul-taneous localisation and mapping system with ORB fea-ture[C]//2013 IEEE International Conference on Multimedia and Expo, 2013: 1–4.

[13] Wang H B, Sun H Y, Shen J, et al. A research on stereo matching algorithm for underwater image[C]//2014 4th Interna-tional Congress on Image and Signal Processing, 2011: 850–854.