ADDING COLOR TO GEODESIC INVARIANT FEATURES

Pier Paolo Campari, Matteo Matteucci, Davide Migliore

Abstract

Geodesic invariant feature have been originally proposed to build a new local feature descriptor invariant not only to affine transformations, but also to general deformations. The aim of this paper is to investigate the possible improvements given by the use of color information in this kind of descriptor. We introduced color information both in geodesic feature construction and description. At feature construction level, we extended the fast marching algorithm to use color information; at description level, we tested several color spaces on real data and we devised the opponent color space as an useful integration to intensity information. The experiments used to validate our theory are based on publicly available data and show the improvement, in precision and recall, with respect to the original intensity based geodesic features. We also compared this kind of features, on affine and non affine transformation, with SIFT, steerable filters, moments invariants, spin images and GIH.

References

  1. Freeman, W. and Adelson, E. (1991). The design and use of steerable filters. IEEE Trans. on PAMI, 13(9):891- 906.
  2. Gool, L. V., Moons, T., and Ungureanu, D. (1996). Affine photometric invariants for planar intensity patterns. ECCV, 642-651:1996.
  3. Lazebnik, S., Schmid, C., and Ponce, J. (2003). A sparse texture representation using affine-invariant regions. CVPR, 2:319-324.
  4. Ling, H. and Jacobs, D. W. (2005). Deformation invariant image matching. ICCV, 1:1466-1473.
  5. Lowe, D. (2004). Distinctive image features from scale invariant keypoints. IJCV, 60(2):91-110.
  6. Matas, J., Chum, O., Urban, M., and Pajdla, T. (2002). Robust wide baseline stereo from maximally stable extremal regions. BMVC, pages 384-393.
  7. Mikolajczyk, K. and Schmid, C. (2004). Scale and affine invariant interest point detectors. IJCV, 60(1):63-86.
  8. Mikolajczyk, K. and Schmid, C. (2005). A performance evaluation of local descriptors. PAMI, 27:1615 - 1630.
  9. Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., and Gool, L. V. (2005). A comparison of affine region detectors. IJCV, 65(1/2):43-72.
  10. Moreels, P. and Perona, P. (2005). Evaluation of features detectors and descriptors based on 3d objects. ICCV, 1:800-807.
  11. Sethian, J. (1999). Efficient Schemes: Fast Marching Methods, chapter 8, pages 87-100. Cambridgr University Press.
  12. van de Weijer, J. and Schmid, C. (2006). Coloring local feature extraction. ECCV, 2:334-348.
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Paper Citation


in Harvard Style

Paolo Campari P., Matteucci M. and Migliore D. (2008). ADDING COLOR TO GEODESIC INVARIANT FEATURES . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 227-234. DOI: 10.5220/0001076602270234


in Bibtex Style

@conference{visapp08,
author={Pier Paolo Campari and Matteo Matteucci and Davide Migliore},
title={ADDING COLOR TO GEODESIC INVARIANT FEATURES},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={227-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001076602270234},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - ADDING COLOR TO GEODESIC INVARIANT FEATURES
SN - 978-989-8111-21-0
AU - Paolo Campari P.
AU - Matteucci M.
AU - Migliore D.
PY - 2008
SP - 227
EP - 234
DO - 10.5220/0001076602270234