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code_exercise\.svn\all-wcprops (240, 2018-02-02)
code_exercise\.svn\entries (364, 2018-02-02)
code_exercise\.svn\text-base\exercise7.m.svn-base (3434, 2018-02-02)
code_exercise\3Dmodel.fig (698187, 2018-02-02)
code_exercise\exercise7.m (4227, 2018-02-02)
data\.svn\all-wcprops (4563, 2018-02-02)
data\.svn\entries (5838, 2018-02-02)
data\.svn\prop-base\david_00.jpg.svn-base (53, 2018-02-02)
data\.svn\prop-base\david_01.jpg.svn-base (53, 2018-02-02)
data\.svn\prop-base\david_02.jpg.svn-base (53, 2018-02-02)
data\.svn\prop-base\david_03.jpg.svn-base (53, 2018-02-02)
data\.svn\prop-base\david_04.jpg.svn-base (53, 2018-02-02)
data\.svn\prop-base\david_05.jpg.svn-base (53, 2018-02-02)
data\.svn\prop-base\david_06.jpg.svn-base (53, 2018-02-02)
data\.svn\prop-base\david_07.jpg.svn-base (53, 2018-02-02)
data\.svn\prop-base\david_08.jpg.svn-base (53, 2018-02-02)
data\.svn\prop-base\david_09.jpg.svn-base (53, 2018-02-02)
data\.svn\prop-base\david_10.jpg.svn-base (53, 2018-02-02)
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data\.svn\prop-base\david_16.jpg.svn-base (53, 2018-02-02)
data\.svn\prop-base\david_17.jpg.svn-base (53, 2018-02-02)
data\.svn\text-base\david_00.jpg.svn-base (109641, 2018-02-02)
data\.svn\text-base\david_00.pa.svn-base (179, 2018-02-02)
data\.svn\text-base\david_01.jpg.svn-base (108246, 2018-02-02)
data\.svn\text-base\david_01.pa.svn-base (180, 2018-02-02)
data\.svn\text-base\david_02.jpg.svn-base (109413, 2018-02-02)
data\.svn\text-base\david_02.pa.svn-base (180, 2018-02-02)
data\.svn\text-base\david_03.jpg.svn-base (108255, 2018-02-02)
data\.svn\text-base\david_03.pa.svn-base (180, 2018-02-02)
data\.svn\text-base\david_04.jpg.svn-base (105147, 2018-02-02)
data\.svn\text-base\david_04.pa.svn-base (181, 2018-02-02)
data\.svn\text-base\david_05.jpg.svn-base (104433, 2018-02-02)
data\.svn\text-base\david_05.pa.svn-base (179, 2018-02-02)
data\.svn\text-base\david_06.jpg.svn-base (107147, 2018-02-02)
data\.svn\text-base\david_06.pa.svn-base (179, 2018-02-02)
data\.svn\text-base\david_07.jpg.svn-base (104926, 2018-02-02)
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# Shape-from-Silhouettes 3D reconstruction with shape of silhouettes ## Discription The task is to reconstruct 3D object from multiple calibrated images by implementing a naive silhouette extraction algorithm. Images and camera calibrations are provided. ### 1. Silhouette extraction Extract silhouettes from the provided images, using a simple thresholding technique. Adjust the silhoutteThreshold so that the silhouettes of the statue are clearly extracted.  ### 2. Volume of interest Define the volume of interest. At first use a larger bounding box than necessary, just to make sure the statue has been included. Then make the bounding box tight to get better resolution. Similarly, we can start with a coarse grid, say 10 * 10 * 20, and then try a larger grid, at least *** * *** * 128. ### 3. Visual hull Compute the occupancy score at each voxel. For each voxel, transform the point from volume to world coordinates using the transformation provided. Then project the points into the image. If a projected point falls within the silhouette, add 1 to the score.

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