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Cited by 479

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Analysis of planar shapes using geodesic paths on shape spaces

Klassen, E., Srivastava, A., Mio, W., Joshi, S.H.·2004·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

For analyzing shapes of planar, closed curves, we propose differential geometric representations of curves using their direction functions and curvature functions. Shapes are represented as elements of infinite-dimensional spaces and their pairwise differences are quantified using the lengths of geodesics connecting them on these spaces. We use a Fourier basis to represent tangents to the shape spaces and then use a gradient-based shooting method to solve for the tangent that connects any two shapes via a geodesic. Using the Surrey fish database, we demonstrate some applications of this approach: 1) interpolation and extrapolations of shape changes, 2) clustering of objects according to their shapes, 3) statistics on shape spaces, and 4) Bayesian extraction of shapes in low-quality images.

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Metadata

Authors
Klassen, E., Srivastava, A., Mio, W., & Joshi, S. H.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
2004-03
Volume
26
Issue
3
Pages
372-383
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2140798815
Cited by
479
References
2
FWCI
37.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Analysis of planar shapes using geodesic paths on shape spaces. https://app.cochat.ai/papers/10.1109/tpami.2004.1262333
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Klassen, E., Srivastava, A., Mio, W., & Joshi, S. H. (2004). Analysis of planar shapes using geodesic paths on shape spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2004.1262333

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.