ijcv-08
所属分类：matlab编程
开发工具：matlab
文件大小：156KB
下载次数：10
上传日期：2013-10-22 11:13:56
上 传 者：
wolunsa
说明： 一种求解基础矩阵的方法，matlab实现
(Solving the fundamental matrix method, matlab achieve)
文件列表:
get_b_H_GN.m (1203, 2009-06-28)
get_dinosaur.m (1737, 2009-06-23)
get_M.m (379, 2007-08-02)
initialization.m (697, 2009-06-23)
missing_LM.m (2656, 2009-06-23)
missing_LM1.m (1605, 2007-10-31)
missing_LM_GN.m (3565, 2009-06-28)
mtr.m (152, 2007-01-19)
obj_missing.m (406, 2007-08-01)
dino_recovered.mat (206960, 2009-06-23)
als.m (625, 2009-06-23)
bilinear.m (185, 2009-06-23)
communication.m (182, 2007-01-19)
dino_exp.m (644, 2009-06-28)
error_missing.m (114, 2009-06-23)
esti_missing.m (708, 2009-07-04)
get_b_H.m (1056, 2007-07-18)
get_b_H0.m (889, 2007-04-26)
use "esti_missing" to estimate the missing entries.
for example, the following scripts use the "missing_LM_GN" to estimate the missing value of the dinosaur
load dino_recovered;
r=4;
M=matrix;
mask=mask;
M_est=esti_missing(M,mask,r);
In "esti_missing", the matrix is M, where the initial values for the missing can be any.
mask for the pattern of missings, i.e., 1 for exisitng and 0 for missing.
r is the rank. In SFM, r=4;
A "thin" matrix for M is recommended, i.e., suppose M has a size of (m,n), m>=n; if not, transpose M.
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