Abstract
This paper describes a novel method for extracting affine invariant regions from images, based on an intuitive notion of symmetry. We define a local affine-invariant symmetry measure and derive a technique for obtaining symmetry regions. Compared to previous approaches the regions obtained are considered to be salient regions, of the image. We apply the symmetry-based technique to obtain affine-invariant regions in images with large-scale difference and demonstrate superior performance compared to existing methods.
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Anjulan, A., Canagarajah, N. (2005). Affine Invariant Feature Extraction Using Symmetry. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_42
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DOI: https://doi.org/10.1007/11558484_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29032-2
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