[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 [Box]=ImgOverLay(Target, Field, FieldStitchPosition, TargetStitchPosition) |
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| 40 | |
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| 41 | % []=ImgOverLay(Target, Field, FieldStitchPosition, TargetStitchPosition) |
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| 42 | % This functino overlay the field and target image given at input |
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| 43 | FieldStitchPosition = round( FieldStitchPosition); |
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| 44 | TargetStitchPosition = round( TargetStitchPosition); |
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| 45 | |
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| 46 | NumberOfChannel = size(Target,3); |
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| 47 | TargetSize = size( Target); |
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| 48 | FieldSize = size( Field); |
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| 49 | |
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| 50 | BoxBottomRight = max( [ size(Field); FieldStitchPosition + ( TargetSize - TargetStitchPosition)], [], 1); |
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| 51 | BoxTopLeft = min( [ ones(1,2); FieldStitchPosition - TargetStitchPosition + 1], [], 1); |
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| 52 | BoxSize = BoxBottomRight - BoxTopLeft + 1; |
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| 53 | |
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| 54 | FieldTopLeftPosition = ones(1,2) - BoxTopLeft + 1; |
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| 55 | TargetTopLeftPosition = ( FieldStitchPosition - TargetStitchPosition + 1) -BoxTopLeft + 1; |
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| 56 | |
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| 57 | % initialize the Box holding Target and Field |
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| 58 | BoxTarget = repmat( zeros( BoxSize), [1 1 NumberOfChannel]); |
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| 59 | BoxField = repmat( zeros( BoxSize), [1 1 NumberOfChannel]); |
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| 60 | Box = zeros(size(BoxField)); |
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| 61 | |
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| 62 | % change the order of dimension |
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| 63 | BoxTarget = permute(BoxTarget, [3 1 2]); |
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| 64 | BoxField = permute(BoxField, [3 1 2]); |
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| 65 | Box = permute(Box, [3 1 2]); |
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| 66 | Target = permute(Target, [3 1 2]); |
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| 67 | Field = permute(Field, [3 1 2]); |
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| 68 | |
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| 69 | % enter info of Taget and Field in specific position in BoxTarget and BoxField |
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| 70 | BoxField(:,FieldTopLeftPosition(1):( FieldTopLeftPosition(1)+FieldSize(1)-1), FieldTopLeftPosition(2):(FieldTopLeftPosition(2)+FieldSize(2)-1)) = Field; |
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| 71 | BoxTarget(:,TargetTopLeftPosition(1):( TargetTopLeftPosition(1)+TargetSize(1)-1), TargetTopLeftPosition(2):(TargetTopLeftPosition(2)+TargetSize(2)-1)) = Target; |
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| 72 | |
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| 73 | % Merging this two images |
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| 74 | MaskTarget = BoxTarget(1,:,:) ~= 0 & BoxField(1,:,:) ==0; |
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| 75 | MaskField = BoxTarget(1,:,:) == 0 & BoxField(1,:,:) ~=0; |
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| 76 | for i = 1:NumberOfChannel |
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| 77 | Box(i,MaskTarget) = BoxTarget(i,MaskTarget); |
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| 78 | Box(i,MaskField) = BoxField(i,MaskField); |
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| 79 | Box(i,~MaskTarget & ~MaskField) = (BoxField(i,~MaskTarget & ~MaskField) + BoxTarget(i,~MaskTarget & ~MaskField))/2; |
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| 80 | end |
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| 81 | |
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| 82 | Box = permute(Box, [2 3 1]); |
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| 83 | return; |
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