Luong/photogrammetry
Photogrammetry problem, B. Luong, FOGALE nanotech, France
Name |
photogrammetry |
Group |
Luong |
Matrix ID |
1895 |
Num Rows
|
1,388 |
Num Cols
|
390 |
Nonzeros
|
11,816 |
Pattern Entries
|
11,816 |
Kind
|
Computer Graphics/Vision Problem |
Symmetric
|
No |
Date
|
2008 |
Author
|
B. Luong |
Editor
|
T. Davis |
Structural Rank |
390 |
Structural Rank Full |
true |
Num Dmperm Blocks
|
1 |
Strongly Connect Components
|
1 |
Num Explicit Zeros
|
0 |
Pattern Symmetry
|
0% |
Numeric Symmetry
|
0% |
Cholesky Candidate
|
no |
Positive Definite
|
no |
Type
|
real |
SVD Statistics |
Matrix Norm |
1.748613e-04 |
Minimum Singular Value |
4.018035e-13 |
Condition Number |
4.351911e+08
|
Rank |
390 |
sprank(A)-rank(A) |
0 |
Null Space Dimension |
0 |
Full Numerical Rank? |
yes |
Download Singular Values |
MATLAB
|
Download |
MATLAB
Rutherford Boeing
Matrix Market
|
Notes |
Photogrammetry problem from Bruno Luong, FOGALE nanotech, France.
The problem of interest is:
[U S V]=svd(full(A),0);
s=diag(S);
The spectrum has two parts:
- the singular values s(1) to s(end-7) are 1.7486e-004 to 3.4655e-007
(ratio 504.57).
- the singular values s(end-6) to s(end) is smaller than 2.9614e-012
(ratio > 5.9e7).
So in this problem, the following are considered:
K = span<U(:,end-6:end) > is the kernel of A, and
L = span<U(:,1:end-7) > = orthogonal(K) is isomorph to Im(A).
|