2D Affine and Projective Shape Analysis

Current techniques for shape analysis tend to seek invariance to similarity transformations (rotation, translation, and scale), but certain imaging situations require invariance to larger groups, such as affine or projective groups. Here we present a general Riemannian framework for shape analysis o...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2014-05, Vol.36 (5), p.998-1011
Hauptverfasser:	Bryner, Darshan, Klassen, Eric, Huiling Le, Srivastava, Anuj
Format:	Artikel
Sprache:	eng
Schlagworte:	Affine invariance Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Artificial intelligence Computational modeling Computer science control theory systems Elastic metric Exact sciences and technology Invariance Invariants Karcher mean shapes Manifolds Mathematical models Measurement Orbits Pattern recognition. Digital image processing. Computational geometry Projective invariance Riemannian methods Samples Shape Shape models Shape statistics Space vehicles Standardization Statistical analysis Statistical methods Theoretical computing Transformations
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