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conference paper · IEEE International Workshop on Multimedia Signal Processing (MMSP) · 2015

Affine scale space for viewpoint invariant keypoint detection

Biao Zhao, Skjalg Lepsøy, Enrico Magli

Cited by 2Open access

Abstract

The research of affine scale space is to create a more general approach to the affine invariant image scale representation by modifying the corresponding Gaussian filters in order to cope with the specific change of view point. It has the purpose to retain a linear relationship with the transiting of the view point. With this linear relationship, the affine scale space could be established as a more general approach for the affine invariant image retrieval, including affine feature detection and affine feature descriptor. The scope of this paper is to discuss the accessible to the affine scale space, its performance and a practical implementation to construct it in order to cope with the high complexity brought in by the scale space and the affine adaptation.

Cite this paper

APA 7

Zhao, B., Lepsøy, S., & Magli, E. (2015). Affine scale space for viewpoint invariant keypoint detection. IEEE International Workshop on Multimedia Signal Processing (MMSP), 1–6. https://doi.org/10.1109/mmsp.2015.7340860

MLA 9

Zhao, Biao, et al. “Affine scale space for viewpoint invariant keypoint detection.” IEEE International Workshop on Multimedia Signal Processing (MMSP), 2015, pp. 1–6, https://doi.org/10.1109/mmsp.2015.7340860.

Chicago

Zhao, Biao, Skjalg Lepsøy, and Enrico Magli. 2015. “Affine scale space for viewpoint invariant keypoint detection.” IEEE International Workshop on Multimedia Signal Processing (MMSP): 1–6. https://doi.org/10.1109/mmsp.2015.7340860.

Harvard

Zhao, B., Lepsøy, S. and Magli, E. (2015) ‘Affine scale space for viewpoint invariant keypoint detection’, IEEE International Workshop on Multimedia Signal Processing (MMSP), pp. 1–6. Available at: https://doi.org/10.1109/mmsp.2015.7340860.

BibTeX
@article{zhao2015affine,
  title = {{Affine scale space for viewpoint invariant keypoint detection}},
  author = {Zhao, Biao and Lepsøy, Skjalg and Magli, Enrico},
  journal = {IEEE International Workshop on Multimedia Signal Processing (MMSP)},
  pages = {1--6},
  year = {2015},
  doi = {10.1109/mmsp.2015.7340860}
}

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