Electronics Optics & Control, Volume. 23, Issue 7, 29(2016)
Visual Positioning Based on Improved SURF Algorithm
[2] [2] ARTURO G, OSCAR M, MONICA B. A comparative evaluation of interest point detectors and local descriptors for visual SLAM[J]. Machine Vision and Applications, 2009, 21(6): 905-920.
[3] [3] JUAN L, GWUN O. A comparison of SIFT, PCA-SIFT and SURF[J]. International Journal of Image Processing, 2009, 3(4): 143-152.
[4] [4] BAY H, TUYTEPLAARS T, VAN G L. SURF: speeded up robust features[C]//Proceedings of the European Confe-rence on Computer Version(ECCV 2006), 2006: 404-417.
[5] [5] DG L. Distinctive image features from scale-invariant key points[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
[6] [6] SHAN X, WANG Y M, DONG J P. The matching method of estimated fundamental matrix based on RANSAC algorithm[J]. Journal of Shanghai Dianji University, 2006, 9(4): 66-69.
[7] [7] RICHARD H, ANDREW Z. Multiple view geometry in computer vision[M]. 2nd ed. New York: Cambridge University Press, 2003.
[9] [9] YAN L W, ZHEN J M. Automatic panorama image mosaic and ghost e1iminating[C]//IEEE International Conference on Multimedia and Expo, Hannover, Germany, ICME, 2008: 325-332.
Get Citation
Copy Citation Text
HAN Feng, HAN Wen-jing. Visual Positioning Based on Improved SURF Algorithm[J]. Electronics Optics & Control, 2016, 23(7): 29
Category:
Received: Jul. 30, 2015
Accepted: --
Published Online: Jan. 26, 2021
The Author Email: