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JMIV
2010

Registration of 2D Points Using Geometric Algebra and Tensor Voting

13 years 9 months ago
Registration of 2D Points Using Geometric Algebra and Tensor Voting
In this paper, we present a novel algorithm that combines the power of expression of Geometric Algebra with the robustness of Tensor Voting to find the correspondences between two sets of 2D points with an underlying rigid transformation. Unlike other popular algorithms for point registration (like the Iterated Closest Points), our algorithm does not require an initialization, works equally well with small and large transformations between the data sets, performs even in the presence of large amounts of outliers (90% and more), and have less chance to be trapped in “local minima”. Furthermore, we will show how this algorithm can be easily extended to account for multiple overlapping motions and certain non-rigid transformations. Keywords Geometric algebra · Tensor voting · Computer vision
Leo Reyes-Lozano, Gérard G. Medioni, Eduard
Added 28 Jan 2011
Updated 28 Jan 2011
Type Journal
Year 2010
Where JMIV
Authors Leo Reyes-Lozano, Gérard G. Medioni, Eduardo Bayro-Corrochano
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