[37] | 1 | % * This code was used in the following articles:
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| 2 | % * [1] Learning 3-D Scene Structure from a Single Still Image,
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| 3 | % * Ashutosh Saxena, Min Sun, Andrew Y. Ng,
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| 4 | % * In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007.
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| 5 | % * (best paper)
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| 6 | % * [2] 3-D Reconstruction from Sparse Views using Monocular Vision,
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| 7 | % * Ashutosh Saxena, Min Sun, Andrew Y. Ng,
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| 8 | % * In ICCV workshop on Virtual Representations and Modeling
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| 9 | % * of Large-scale environments (VRML), 2007.
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| 10 | % * [3] 3-D Depth Reconstruction from a Single Still Image,
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| 11 | % * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng.
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| 12 | % * International Journal of Computer Vision (IJCV), Aug 2007.
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| 13 | % * [6] Learning Depth from Single Monocular Images,
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| 14 | % * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng.
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| 15 | % * In Neural Information Processing Systems (NIPS) 18, 2005.
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| 16 | % *
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| 17 | % * These articles are available at:
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| 18 | % * http://make3d.stanford.edu/publications
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| 19 | % *
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| 20 | % * We request that you cite the papers [1], [3] and [6] in any of
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| 21 | % * your reports that uses this code.
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| 22 | % * Further, if you use the code in image3dstiching/ (multiple image version),
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| 23 | % * then please cite [2].
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| 24 | % *
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| 25 | % * If you use the code in third_party/, then PLEASE CITE and follow the
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| 26 | % * LICENSE OF THE CORRESPONDING THIRD PARTY CODE.
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| 27 | % *
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| 28 | % * Finally, this code is for non-commercial use only. For further
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| 29 | % * information and to obtain a copy of the license, see
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| 30 | % *
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| 31 | % * http://make3d.stanford.edu/publications/code
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| 32 | % *
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| 33 | % * Also, the software distributed under the License is distributed on an
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| 34 | % * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
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| 35 | % * express or implied. See the License for the specific language governing
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| 36 | % * permissions and limitations under the License.
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| 37 | % *
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| 38 | % */
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| 39 | function [Proj] = LineProj(seglist, x , y) |
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| 40 | |
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| 41 | % this function output the porject point on the given lineSeg |
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| 42 | |
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| 43 | if isempty(x) && isempty(y) |
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| 44 | Proj = sparse(0,1); |
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| 45 | return; |
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| 46 | end |
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| 47 | |
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| 48 | if isempty(x) |
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| 49 | Proj = (seglist(1)-seglist(3))/(seglist(2)-seglist(4))*(y -seglist(2))+seglist(1); |
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| 50 | if any(isinf(Proj)) |
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| 51 | disp('Proj_InfX'); |
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| 52 | end |
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| 53 | elseif isempty(y) |
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| 54 | Proj = (seglist(2)-seglist(4))/(seglist(1)-seglist(3))*(x -seglist(1))+seglist(2); |
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| 55 | if any(isinf(Proj)) |
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| 56 | disp('Proj_InfY'); |
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| 57 | end |
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| 58 | else |
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| 59 | if seglist(1)-seglist(3) == 0 |
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| 60 | Proj = x <= seglist(1); |
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| 61 | elseif seglist(2)-seglist(4) == 0 |
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| 62 | Proj = y <= seglist(2); |
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| 63 | else |
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| 64 | % Proj = (x - seglist(1))./(y - seglist(2)) - (seglist(1)-seglist(3))/(seglist(2)-seglist(4)); |
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| 65 | % temp = (seglist(2)-seglist(4))/(seglist(1)-seglist(3))*(x -seglist(1))+seglist(2); |
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| 66 | % Proj = (y - temp)>=0; |
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| 67 | LineTarget = (seglist(:,1)-seglist(:,3) ~=0); |
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| 68 | temp = repmat((seglist(LineTarget,2)-seglist(LineTarget,4))./(seglist(LineTarget,1)-seglist(LineTarget,3)),[1 size(x,1)]).*... |
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| 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)]); |
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| 70 | Proj = ((repmat(y',[size(seglist(LineTarget,1),1) 1]) - temp)>=0)'; |
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| 71 | LineTarget = (seglist(:,1)-seglist(:,3) ==0); |
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| 72 | OProj = (( repmat(x',[size(seglist(LineTarget,1),1) 1]) - repmat(seglist(LineTarget,1),[1 size(x,1)]))>=0)'; |
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| 73 | if sum(LineTarget(:))~=0 |
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| 74 | Proj = [Proj OProj]; |
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| 75 | end |
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| 76 | end |
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| 77 | end |
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| 78 | return; |
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| 79 | |
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