% *  This code was used in the following articles:
% *  [1] Learning 3-D Scene Structure from a Single Still Image, 
% *      Ashutosh Saxena, Min Sun, Andrew Y. Ng, 
% *      In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007.
% *      (best paper)
% *  [2] 3-D Reconstruction from Sparse Views using Monocular Vision, 
% *      Ashutosh Saxena, Min Sun, Andrew Y. Ng, 
% *      In ICCV workshop on Virtual Representations and Modeling 
% *      of Large-scale environments (VRML), 2007. 
% *  [3] 3-D Depth Reconstruction from a Single Still Image, 
% *      Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. 
% *      International Journal of Computer Vision (IJCV), Aug 2007. 
% *  [6] Learning Depth from Single Monocular Images, 
% *      Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. 
% *      In Neural Information Processing Systems (NIPS) 18, 2005.
% *
% *  These articles are available at:
% *  http://make3d.stanford.edu/publications
% * 
% *  We request that you cite the papers [1], [3] and [6] in any of
% *  your reports that uses this code. 
% *  Further, if you use the code in image3dstiching/ (multiple image version),
% *  then please cite [2].
% *  
% *  If you use the code in third_party/, then PLEASE CITE and follow the
% *  LICENSE OF THE CORRESPONDING THIRD PARTY CODE.
% *
% *  Finally, this code is for non-commercial use only.  For further 
% *  information and to obtain a copy of the license, see 
% *
% *  http://make3d.stanford.edu/publications/code
% *
% *  Also, the software distributed under the License is distributed on an 
% * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either 
% *  express or implied.   See the License for the specific language governing 
% *  permissions and limitations under the License.
% *
% */
function [currMask1, xVec1, yVec1, currMask2, xVec2, yVec2]=creatingMasks(Sup_low,Sup_medi)

% This function called by findBoundaryFeaturesMore
% written by Rajiv

NuSup = unique(Sup_low)';
NuSup = sort(NuSup);
count=0;
mask=sparse(size(Sup_medi,1),size(Sup_medi,2));

% initalize currMask2, xVec2, yVec2 in case not assigned 
currMask2 = [];
xVec2 = [];
yVec2 = [];

for i = NuSup
    count=count+1;
    if count<=500        
        mask = Sup_medi==i;
        currMask1{count} = mask;
        %% find midpoint of this superpixel
        %% Notice that the sum command sums the columns of a matrix
        xVec1{count}=sum(mask);
        yVec1{count}=sum(mask');
    else
        mask = Sup_medi==i;
        currMask2{count-500} = mask;
        %% find midpoint of this superpixel
        %% Notice that the sum command sums the columns of a matrix
        xVec2{count-500}=sum(mask);
        yVec2{count-500}=sum(mask');
    end 
end