[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 []=Indep_Mono_Model_CheckRT(defaultPara, ImgInfo, R, T,Scale) |
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| 40 | % []=Indep_Mono_Model_CheckRT(defaultPara, ImgInfo, R, T) |
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| 41 | |
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| 42 | Default.fy = 2400.2091651084; |
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| 43 | Default.fx = 2407.3312729885838; |
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| 44 | Default.Ox = 1110.7122391785729;%2272/2; % |
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| 45 | Default.Oy = 833.72104535435108;%1704/2; % |
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| 46 | Default.a_default = 2272/Default.fx; |
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| 47 | Default.b_default = 1704/Default.fy; %0.946584169;%0.085; % vertical physical size of image plane normalized to focal length (in meter) |
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| 48 | Default.Ox_default = 1-Default.Ox/2272;%0.489272914; % camera origin offset from the image center in horizontal direction |
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| 49 | Default.Oy_default = 1-Default.Oy/1704; |
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| 50 | |
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| 51 | % This function render the 2 independent mono-model jointly using RT info |
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| 52 | Img1 = strrep(ImgInfo(1).ExifInfo.name,'.jpg',''); |
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| 53 | Img2 = strrep(ImgInfo(2).ExifInfo.name,'.jpg',''); |
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| 54 | I1=imreadbw([defaultPara.Fdir '/pgm/' Img1 '.pgm']); % function from sift |
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| 55 | I2=imreadbw([defaultPara.Fdir '/pgm/' Img2 '.pgm']); % function from sift |
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| 56 | |
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| 57 | [WrlPosition1 PositionTex1] = PreWrlData(defaultPara.InrinsicK1, ImgInfo(1).Model.Depth.FitDepth*Scale(1), I1, R.a, T.a); |
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| 58 | WrlFacestHroiReduce( WrlPosition1, double(PositionTex1), ImgInfo(1).Model.Sup, Img1, ['_MonoJointlyBA'], defaultPara.OutPutFolder, 0, 0); |
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| 59 | |
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| 60 | system(['cp ' defaultPara.Fdir '/jpg/' Img1 '.jpg ' defaultPara.OutPutFolder Img1 '.jpg']); |
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| 61 | [WrlPosition2 PositionTex2] = PreWrlData(defaultPara.InrinsicK2, ImgInfo(2).Model.Depth.FitDepth*Scale(2), I2, R.b, T.b); |
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| 62 | WrlFacestHroiReduce(WrlPosition2, PositionTex2, ImgInfo(2).Model.Sup, Img2, [ '_MonoJointlyBA'], defaultPara.OutPutFolder, 0, 0); |
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| 63 | system(['cp ' defaultPara.Fdir '/jpg/' Img2 '.jpg ' defaultPara.OutPutFolder Img2 '.jpg']); |
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| 64 | |
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| 65 | return; |
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