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TEASER++

TEASER++ is a fast and certifiably-robust point cloud registration library written in C++, with Python and MATLAB bindings.

Keywords for this software

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  • total least squares
  • on-manifold refinement
  • semidefinite programming
  • rigid registration
  • relative pose problem
  • symmetry plane estimation
  • shape registration
  • closed-form optimality certifier
  • low rank approximation
  • CTSF
  • robust estimation
  • iterative closest point
  • affine structure
  • certifiable algorithm
  • orientation tensors
  • global optimization
  • Lie groups
  • Lie algebras
  • convex relaxation

  • URL: arxiv.org/abs/2001.07715
  • Code
  • InternetArchive
  • Authors: Heng Yang, Jingnan Shi, Luca Carlone
  • Dependencies: C++

  • Add information on this software.


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References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
y Sorted by year (citations)

  1. Cifuentes, Diego: A convex relaxation to compute the nearest structured rank deficient matrix (2021)
  2. de Almeida, Liliane Rodrigues; Giraldi, Gilson Antonio; Vieira, Marcelo Bernardes; Miranda, Gastão Florêncio jun.: Pairwise rigid registration based on Riemannian geometry and Lie structures of orientation tensors (2021)
  3. Garcia-Salguero, Mercedes; Gonzalez-Jimenez, Javier: Fast and robust certifiable estimation of the relative pose between two calibrated cameras (2021)
  4. Hu, Lan; Kneip, Laurent: Globally optimal point set registration by joint symmetry plane fitting (2021)

  • Article statistics & filter:

  • Search for articles
  • MSC classification / top
    • Top MSC classes
      • 15 Linear and multilinear...
      • 49 Calculus of variations...
      • 68 Computer science
      • 90 Optimization
      • 94 Information and...

  • Publication year
    • 2010 - today
    • 2005 - 2009
    • 2000 - 2004
    • before 2000
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