# Difference between revisions of "Publications/carlinet.15.itip.inc"

### From LRDE

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=== Multivariate Tree of Shapes Computation Binaries === |
=== Multivariate Tree of Shapes Computation Binaries === |
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− | You can download the x86_64 binaries to compute the Multivariate Tree of Shapes [https://lrde.epita.fr/~carlinet/bin/compute_ctos-demo Here]. This application outputs 16-bits |
+ | You can download the x86_64 binaries to compute the Multivariate Tree of Shapes [https://lrde.epita.fr/~carlinet/thesis/bin/compute_ctos-demo Here]. This application outputs 16-bits |

image where each pixel stores the depth of the node it belongs to. To recover the MToS from |
image where each pixel stores the depth of the node it belongs to. To recover the MToS from |
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this image, one just has to compute its max-tree. Note that the image is twice has big has the original |
this image, one just has to compute its max-tree. Note that the image is twice has big has the original |

## Revision as of 15:46, 15 April 2015

## Materials

### Multivariate Tree of Shapes Computation Binaries

You can download the x86_64 binaries to compute the Multivariate Tree of Shapes Here. This application outputs 16-bits image where each pixel stores the depth of the node it belongs to. To recover the MToS from this image, one just has to compute its max-tree. Note that the image is twice has big has the original one and has a border for topogical and algorithmic purposes. Thus, any pixel with coordinates (x,y) in the original image is now at coordinates (2*(x+1), 2*(y+1)) in the depth image. The application also outputs a 8bits grayscale version of the depth image that can be used to vizualise the shapes by thresholding this image.

Usage: ./compute_ctos-demo [options] input depth16.tiff depth8.png