source: proiecte/pmake3d/make3d_original/Make3dSingleImageStanford_version0.1/LearningCode/Inference/OldVersion/LineProj.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 [Proj] = LineProj(seglist, x , y)
40
41% this function output the porject point on the given lineSeg
42
43if isempty(x) && isempty(y)
44   Proj = sparse(0,1);
45   return;
46end
47
48if isempty(x)
49   Proj = (seglist(1)-seglist(3))/(seglist(2)-seglist(4))*(y -seglist(2))+seglist(1);
50   if any(isinf(Proj))
51      disp('Proj_InfX');
52   end
53elseif isempty(y)
54   Proj = (seglist(2)-seglist(4))/(seglist(1)-seglist(3))*(x -seglist(1))+seglist(2);
55   if any(isinf(Proj))
56      disp('Proj_InfY');
57   end
58else
59   if seglist(1)-seglist(3) == 0
60      Proj = x <= seglist(1);
61   elseif seglist(2)-seglist(4) == 0
62      Proj = y <= seglist(2);
63   else   
64%      Proj = (x - seglist(1))./(y - seglist(2)) - (seglist(1)-seglist(3))/(seglist(2)-seglist(4));
65%       temp = (seglist(2)-seglist(4))/(seglist(1)-seglist(3))*(x -seglist(1))+seglist(2);
66%       Proj = (y - temp)>=0;
67     LineTarget = (seglist(:,1)-seglist(:,3) ~=0);
68       temp = repmat((seglist(LineTarget,2)-seglist(LineTarget,4))./(seglist(LineTarget,1)-seglist(LineTarget,3)),[1 size(x,1)]).*...
69              (repmat(x',[size(seglist(LineTarget,1),1) 1]) -repmat(seglist(LineTarget,1),[1 size(x,1)]))+repmat(seglist(LineTarget,2),[1 size(x,1)]);
70       Proj = ((repmat(y',[size(seglist(LineTarget,1),1) 1]) - temp)>=0)';
71     LineTarget = (seglist(:,1)-seglist(:,3) ==0);
72       OProj = (( repmat(x',[size(seglist(LineTarget,1),1) 1]) - repmat(seglist(LineTarget,1),[1 size(x,1)]))>=0)';
73     if sum(LineTarget(:))~=0
74       Proj = [Proj OProj];
75     end
76   end
77end
78return;
79
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