Related Scientific Work
In this section we describe where can you find some description of the different features
(detectors/descriptors) provided by this package.
Articles Related to This Package
This section describes where can you find some description of the different features
(detectors/descriptors) provided by this package.
If you find this package useful in your scientific work, you can refer to the following
paper:
-
- Gy. Dorko and C. Schmid. “Object class recognition using discriminative
local features.” ieee Transactions on PAMI, 2004. submitted.
DoG, SIFT:
-
- D. G. Lowe, “Distinctive image features from scale-invariant keypoints,”
International Journal of Computer Vision, vol. 60, no. 2, pp. 91–110, 2004,
accepted for publication.
Harris-Laplace, Hessian-Laplace:
-
- K. Mikolajczyk and C. Schmid, “Indexing based on scale invariant interest
points,” in Proceedings of the 8th International Conference on Computer
Vision, Vancouver, Canada, 2001, pp. 525–531.
-
- C. Harris and M. Stephens. “A combined corner and edge detector.” In M.
M. Matthews, editor, Proceedings of the 4th Alvey Vision Conference, pages
147151, 1988.
Spin Images:
-
- A. Johnson and M. Hebert. “Using spin images for efficient object
recognition in cluttered 3d scenes.” ieee Transactions on PAMI,
21(5):433–449, 1999.
-
- S. Lazebnik, C. Schmid, and J. Ponce. “A Sparse Texture Representation
Using Local Affine Regions.” in ieee Transactions on PAMI, accepted,
2005.
Other Scale Invariant Local Detectors / Descriptors
A comparative study of affine interest point detectors can be found in:
-
- K. Mikolajczyk and C. Schmid, “Scale & affine invariant interest point
detectors”, in International Journal of Computer Vision, to appear.
Performance evaluation of local descriptors:
-
- K. Mikolajczyk and C. Schmid, “A performance evaluation of local
descriptors.” in IEEE Conference on Computer Vision and Pattern
Recognition, June 2003.
more to come