Difference between revisions of "Publications/carlinet.15.itip.inc"
From LRDE
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outputs a 8bits grayscale version of the depth image that can be used to vizualise the shapes by thresholding this image. |
outputs a 8bits grayscale version of the depth image that can be used to vizualise the shapes by thresholding this image. |
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+ | <pre> |
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Usage: ./compute_ctos-demo [options] input depth16.tiff depth8.png |
Usage: ./compute_ctos-demo [options] input depth16.tiff depth8.png |
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+ | </pre> |
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<gallery> |
<gallery> |
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File:depth.png|8-bit depth Image |
File:depth.png|8-bit depth Image |
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</gallery> |
</gallery> |
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=== Mumford-Shah Simplification with the MToS === |
=== Mumford-Shah Simplification with the MToS === |
Revision as of 16:23, 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
Mumford-Shah Simplification with the MToS
You can download the x86_64 binaries to compute the Mumford-Shah simplification running on the MToS (as described in the paper) Here.
Usage: ./mumford_shah_on_tree_full input[rgb] α₀ α₁ λ output α₀ Grain filter size before merging trees (0 to disable) α₁ Grain filter size on the color ToS (0 to disable) λ Mumford-shah regularisation weight (e.g. 5000)