VF-SIFT: Very Fast SIFT Feature Matching

Author:

Alhwarin Faraj,Ristić–Durrant Danijela,Gräser Axel

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. Journal of Computer Vision 60(2), 91–110 (2004)

2. Ke, Y., Sukthankar, R.: PCA-sift: A more distinctive representation for local image descriptors. In: Int. Conf. on Computer Vision and Pattern Recognition, pp. 506–513 (2004)

3. Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. IEEE Transactions on pattern analysis and machine intelligence 27(10) (2005)

4. Bay, H., Tuytelaars, T., Van Gool, L.: SURF: Speeded Up Robust Features. Computer Vision and Image Understanding 110(3), 346–359 (2008)

5. Sinha, S.N., Frahm, J.-M., Pollefeys, M., Genc, Y.: GPU-based video feature tracking and matching. Technical report, Department of Computer Science, UNC Chapel Hill (2006)

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