Abstract
In this paper, a new algorithm for 2D shape characterization is proposed. This method characterizes a planar object using a triangle-area representation obtained from its closed contour. As main novelty with respect to previous approaches, in our approach the triangle side lengths at each contour point are adapted to the local variations of the shape, removing noise from the contour without missing relevant points. This representation is invariant to affine transformations, and robust against noise. The performance of our proposal is demonstrated using a standard test on the well-known MPEG-7 CE-shape-1 data set.
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Bandera, A., Antúnez, E., Marfil, R. (2009). An Adaptive Approach for Affine-Invariant 2D Shape Description. In: Araujo, H., Mendonça, A.M., Pinho, A.J., Torres, M.I. (eds) Pattern Recognition and Image Analysis. IbPRIA 2009. Lecture Notes in Computer Science, vol 5524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02172-5_54
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DOI: https://doi.org/10.1007/978-3-642-02172-5_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02171-8
Online ISBN: 978-3-642-02172-5
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