source: proiecte/pmake3d/make3d_original/Make3dSingleImageStanford_version0.1/image3dstiching/developmentTool/CompareMatchesCleanMatches.m @ 37

Last change on this file since 37 was 37, checked in by (none), 14 years ago

Added original make3d

File size: 4.2 KB
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1% *  This code was used in the following articles:
2% *  [1] Learning 3-D Scene Structure from a Single Still Image,
3% *      Ashutosh Saxena, Min Sun, Andrew Y. Ng,
4% *      In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007.
5% *      (best paper)
6% *  [2] 3-D Reconstruction from Sparse Views using Monocular Vision,
7% *      Ashutosh Saxena, Min Sun, Andrew Y. Ng,
8% *      In ICCV workshop on Virtual Representations and Modeling
9% *      of Large-scale environments (VRML), 2007.
10% *  [3] 3-D Depth Reconstruction from a Single Still Image,
11% *      Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng.
12% *      International Journal of Computer Vision (IJCV), Aug 2007.
13% *  [6] Learning Depth from Single Monocular Images,
14% *      Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng.
15% *      In Neural Information Processing Systems (NIPS) 18, 2005.
16% *
17% *  These articles are available at:
18% *  http://make3d.stanford.edu/publications
19% *
20% *  We request that you cite the papers [1], [3] and [6] in any of
21% *  your reports that uses this code.
22% *  Further, if you use the code in image3dstiching/ (multiple image version),
23% *  then please cite [2].
24% * 
25% *  If you use the code in third_party/, then PLEASE CITE and follow the
26% *  LICENSE OF THE CORRESPONDING THIRD PARTY CODE.
27% *
28% *  Finally, this code is for non-commercial use only.  For further
29% *  information and to obtain a copy of the license, see
30% *
31% *  http://make3d.stanford.edu/publications/code
32% *
33% *  Also, the software distributed under the License is distributed on an
34% * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
35% *  express or implied.   See the License for the specific language governing
36% *  permissions and limitations under the License.
37% *
38% */
39% NuPair = size(PairList,1);
40% for     i = 1:NuPair
41%         [ImgAIndex] = ImgInfoIndexFromName(ImgInfo, PairList{i,1})
42%         [ImgBIndex] = ImgInfoIndexFromName(ImgInfo, PairList{i,2})
43%         Img1 = strrep(ImgInfo(ImgAIndex).ExifInfo.name,'.jpg','');
44%         Img2 = strrep(ImgInfo(ImgBIndex).ExifInfo.name,'.jpg','');
45%         matches = [CleanedMatches(ImgAIndex, ImgBIndex).Index; CleanedMatches(ImgBIndex, ImgAIndex).Index ];
46%         matches_ori = [MatchesUnified(ImgAIndex, ImgBIndex).Index; MatchesUnified(ImgBIndex, ImgAIndex).Index ];
47%
48%         I1=imreadbw([defaultPara.Fdir '/pgm/' Img1 '.pgm']); % function from sift
49%         I2=imreadbw([defaultPara.Fdir '/pgm/' Img2 '.pgm']); % function from sift
50%         [f1] = readSurf(Img1, defaultPara.Fdir, 'Dense'); % original features
51%         [f2] = readSurf(Img2, defaultPara.Fdir, 'Dense'); % original features
52%
53%         figure(11);  plotmatches(I1,I2,f1, f2, matches, 'Stacking','v','Interactive', 2);
54%         saveas(11,[ Fdir '/cleanMatch/' Img1 '_' Img2 'CleanedMatch'],'jpg');
55%         figure(12);  plotmatches(I1,I2,f1, f2, matches_ori, 'Stacking','v','Interactive', 2);
56%         saveas(12,[ Fdir '/cleanMatch/' Img1 '_' Img2 'OriMatch'],'jpg');
57% end
58
59NuPair = size(GoodPairList,1);
60for     i = 1:NuPair
61        [ImgAIndex] = ImgInfoIndexFromName(ImgInfo, GoodPairList{i,1})
62        [ImgBIndex] = ImgInfoIndexFromName(ImgInfo, GoodPairList{i,2})
63        Img1 = strrep(ImgInfo(ImgAIndex).ExifInfo.name,'.jpg','');
64        Img2 = strrep(ImgInfo(ImgBIndex).ExifInfo.name,'.jpg','');
65        matches = [CleanedMatches(ImgAIndex, ImgBIndex).Index; CleanedMatches(ImgBIndex, ImgAIndex).Index ];
66        matches_ori = [MatchesUnified(ImgAIndex, ImgBIndex).Index; MatchesUnified(ImgBIndex, ImgAIndex).Index ];
67
68        I1=imreadbw([defaultPara.Fdir '/pgm/' Img1 '.pgm']); % function from sift
69        I2=imreadbw([defaultPara.Fdir '/pgm/' Img2 '.pgm']); % function from sift
70        [f1] = readSurf(Img1, defaultPara.Fdir, 'Dense'); % original features
71        [f2] = readSurf(Img2, defaultPara.Fdir, 'Dense'); % original features
72
73        figure(11);  plotmatches(I1,I2,f1, f2, matches, 'Stacking','v','Interactive', 3);
74        saveas(11,[ Fdir '/cleanMatch/' Img1 '_' Img2 'CleanedMatch'],'jpg');
75        figure(12);  plotmatches(I1,I2,f1, f2, matches_ori, 'Stacking','v','Interactive', 3);
76        saveas(12,[ Fdir '/cleanMatch/' Img1 '_' Img2 'OriMatch'],'jpg');
77end
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