Matrix: Mazaheri/bundle_adj

Description: sparse bundle adjustment problem, Univ Calgary

Mazaheri/bundle_adj graph
(undirected graph drawing)


Mazaheri/bundle_adj dmperm of Mazaheri/bundle_adj

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  • Matrix group: Mazaheri
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  • download as a MATLAB mat-file, file size: 151 MB. Use UFget(2664) or UFget('Mazaheri/bundle_adj') in MATLAB.
  • download in Matrix Market format, file size: 130 MB.
  • download in Rutherford/Boeing format, file size: 118 MB.

    Matrix properties
    number of rows513,351
    number of columns513,351
    nonzeros20,207,907
    structural full rank?yes
    structural rank513,351
    # of blocks from dmperm46
    # strongly connected comp.46
    explicit zero entries144
    nonzero pattern symmetrysymmetric
    numeric value symmetrysymmetric
    typereal
    structuresymmetric
    Cholesky candidate?yes
    positive definite?yes

    authorM. Mazaheri
    editorT. Davis
    date2015
    kindcomputer vision problem
    2D/3D problem?yes

    Additional fieldssize and type
    bfull 513351-by-1

    Notes:

    Sparse bundle adjustment problem from Mehdi Mazaheri, University of Calgary   
                                                                                  
    A is symmetric positive definite, coming from bundle adjustment of 1700 images
    to optimize the trajectory of a multi-camera data acqusition system. The      
    trajectory is a loop inside a building at the University of Calgary.          
                                                                                  
    Mehdi Mazaheri                                                                
    Dept of Geomatics, University of Calgary                                      
    

    Ordering statistics:result
    nnz(chol(P*(A+A'+s*I)*P')) with AMD10,659,339
    Cholesky flop count3.7e+08
    nnz(L+U), no partial pivoting, with AMD20,805,327
    nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD1,732,207,548
    nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD2,681,108,649

    Note that all matrix statistics (except nonzero pattern symmetry) exclude the 144 explicit zero entries.

    For a description of the statistics displayed above, click here.

    Maintained by Tim Davis, last updated 04-Jun-2015.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.
    Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.