source: proiecte/pmake3d/make3d_original/Make3dSingleImageStanford_version0.1/image3dstiching/Occlu/PickAnchorPoint.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% */
39function [ PickRow PickCol] = PickAnchorPoint(I)
40
41% [ PickRow PickCol] = PickAnchorPoint(I)
42
43% calculate Gradient Magnitude
44hy = fspecial('sobel');
45hx = hy';
46Iy = imfilter(double(I), hy, 'replicate');
47Ix = imfilter(double(I), hx, 'replicate');
48gradmag = sqrt(Ix.^2 + Iy.^2);
49
50% opening-by-reconstruction
51se = strel('disk', 20);
52Ie = imerode(I, se);
53Iobr = imreconstruct(Ie, I);
54
55% Opening-closing by reconstruction
56Iobrd = imdilate(Iobr, se);
57Iobrcbr = imreconstruct(imcomplement(Iobrd), imcomplement(Iobr));
58Iobrcbr = imcomplement(Iobrcbr);
59
60% Background Markers
61bw = im2bw(Iobrcbr, graythresh(Iobrcbr));
62
63EdgeLabel = edge(double(bw),'sobel');
64
65if ~isempty(EdgeLabel)
66        Filted_gradmag = zeros(size(gradmag));
67        Filted_gradmag(EdgeLabel) = gradmag(EdgeLabel);
68        [VRow IRow] = max( Filted_gradmag);
69        [Vcol Icol] = max(VRow);
70else
71        [VRow IRow] = max( gradmag);
72        [Vcol Icol] = max(VRow);
73end
74
75PickRow = IRow(Icol);
76PickCol = Icol;
77
78return;
79
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