Mazaheri/bundle_adj
sparse bundle adjustment problem, Univ Calgary
Name |
bundle_adj |
Group |
Mazaheri |
Matrix ID |
2664 |
Num Rows
|
513,351 |
Num Cols
|
513,351 |
Nonzeros
|
20,207,907 |
Pattern Entries
|
20,208,051 |
Kind
|
Computer Vision Problem |
Symmetric
|
Yes |
Date
|
2015 |
Author
|
M. Mazaheri |
Editor
|
T. Davis |
Structural Rank |
513,351 |
Structural Rank Full |
true |
Num Dmperm Blocks
|
46 |
Strongly Connect Components
|
46 |
Num Explicit Zeros
|
144 |
Pattern Symmetry
|
100% |
Numeric Symmetry
|
100% |
Cholesky Candidate
|
yes |
Positive Definite
|
yes |
Type
|
real |
Download |
MATLAB
Rutherford Boeing
Matrix Market
|
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
|