source: proiecte/pmake3d/make3d_original/Make3dSingleImageStanford_version0.1/image3dstiching/match/readSurfMatches.m @ 162

Last change on this file since 162 was 37, checked in by (none), 15 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% */
39function [f1, f2, matches] = readSurfMatches(file1, file2, dir, Type, DenseFlag, Flag128, NumCol)
40% This function reads in surf features and matches for a pair of images.
41% file1/2 contain the features,  contians the matches.
42% if dir is passed, find the featues at dir/surf/file1.surf
43% and matches at dir/surf_matches/file1-file2.match
44if nargin < 5
45    DenseFlag = false;
46    Flag128 = true;
47    NumCol = 2;
48elseif nargin < 6
49    Flag128 = true;
50    NumCol = 2;
51elseif nargin <7
52    NumCol = 2;
53end
54
55FlagSwitch = 0;
56% initialize surf1 surf2 and match
57if DenseFlag
58    surf1 = [dir '/surf/' file1 '.surfDense'];
59    surf2 = [dir '/surf/' file2 '.surfDense'];
60    match = [dir '/surf_matches/' file1 '-' file2 '.match' Type];
61    f = fopen(match);
62    if f==-1
63        match = [dir '/surf_matches/' file2 '-' file1 '.match' Type];
64        FlagSwitch = 1;
65        f = fopen(match);
66    end
67else
68    if Flag128
69        surf1 = [dir '/surf/' file1 '.surf'];
70        surf2 = [dir '/surf/' file2 '.surf'];
71        match = [dir '/surf_matches/' file1 '-' file2 '.match' Type];
72    else
73        surf1 = [dir '/surf/' file1 '.surf_64'];
74        surf2 = [dir '/surf/' file2 '.surf_64'];
75        match = [dir '/surf_matches/' file1 '-' file2 '.match_64'];
76    end
77    f = fopen(match);
78    if f==-1
79        FlagSwitch = 1;
80        if Flag128
81            surf2 = [dir '/surf/' file2 '.surf'];
82            surf1 = [dir '/surf/' file1 '.surf'];
83            match = [dir '/surf_matches/' file2 '-' file1 '.match' Type];
84        else
85            surf2 = [dir '/surf/' file2 '.surf_64'];
86            surf1 = [dir '/surf/' file1 '.surf_64'];
87            match = [dir '/surf_matches/' file2 '-' file1 '.match_64'];
88        end
89        f = fopen(match);
90    end
91end
92
93if f == -1
94        f1 = [];
95        f2 = [];
96        matches = [];
97    return;
98end
99
100matches = fscanf(f, '%g', [NumCol, inf]); %2xNumMatches
101matches = matches+1;
102fclose(f);
103if FlagSwitch
104   matches = flipud(matches);
105end
106
107
108% read in first set of features
109f = fopen(surf1);
110g = fgetl(f); %skip first 2 lines
111features = str2num(g)+5; % dynamic deciding features length from data
112g = fgetl(f);
113%70xnumPoints, xy positions are points(1:2, :) for SURF-64
114%134xnumPoints, xy positions are points(1:2, :) for SURF-128
115frames1 = fscanf(f, '%f', [features, inf]);
116fclose(f);
117
118% read in second set of features
119f = fopen(surf2);
120g = fgetl(f); %skip first 2 lines
121g = fgetl(f);
122frames2 = fscanf(f, '%f', [features, inf]); %70xnumPoints, xy positions are points(1:2, :)
123fclose(f);
124
125f1 = frames1(1:2, :);
126f2 = frames2(1:2, :);
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