source: proiecte/pmake3d/make3d_original/Make3dSingleImageStanford_version0.1/image3dstiching/useful/BuildDataPairImg.m @ 37

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

Added original make3d

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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
40
41% This is a script to use to build tedous data building
42
43
44I1=imreadbw([Fdir '/pgm/' PairImg '.pgm']); % function from sift
45I2=imreadbw([Fdir '/pgm/' NewImg '.pgm']); % function from sift
46
47[f1, f2] = readSurf(PairImg, NewImg, Fdir, 1);
48
49hit = 0;
50for i = 1:length(ImgInfo)
51        if strcmp(ImgInfo(i).ExifInfo.name, [PairImg '.jpg'] )
52                ImgInfo1 = ImgInfo(i);
53                PairImgIndex = i;
54                hit = hit + 1;
55        elseif strcmp(ImgInfo(i).ExifInfo.name, [NewImg '.jpg'] )
56                ImgInfo2 = ImgInfo(i);
57                NewImgIndex = i;
58                hit = hit + 1;
59        elseif hit >=2
60                break;
61        end
62end
63
64%depth
65[DV DH] = size(Depth2);
66[IV IH] = size(I2);
67Scale = [[DV DH];[IV IH]];
68[IND2]=ReScaleInd2Sub(Scale,f2);
69D2 = Depth2(IND2);
70
71% load pre_data in ImgAddedList
72load([Fdir '/data/' PairImg '_Data.mat']);
73Depth1 = Depth;
74Sup1 = Sup;
75[DV DH] = size(Depth1);
76[IV IH] = size(I1);
77Scale = [[DV DH];[IV IH]];
78[IND1]=ReScaleInd2Sub(Scale,f1);
79D1 = Depth1(IND1);
80
81
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