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Features invariant to linear transformations in 2D and 3D

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1 Author(s)
Reiss, T.H. ; Dept. of Eng., Cambridge Univ., UK

Planar objects can be recognized independent of viewpoint using features invariant to affine transformations. Such features can be generated from the image moments using algebraic invariants. This paper shows how to use tensors to generate algebraic invariants in 2D and 3D, and shows that these features are much more robust than affine invariant Fourier descriptors

Published in:

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Date of Conference:

30 Aug-3 Sep 1992

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