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_includes/notebooks/05-image-stitching-part-1.html

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_includes/widgets.html

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<script src="https://unpkg.com/jupyter-js-widgets@~2.1.4/dist/embed.js"></script>

_layouts/post.html

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layout: default
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widgets: false
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<article class="post" itemscope itemtype="http://schema.org/BlogPosting">
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{% if page.mathjax %}
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{% include mathjax.html %}
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{% endif %}
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{% if page.widgets %}
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{% include widgets.html %}
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</header>
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<div class="post-content" itemprop="articleBody">

_posts/2017-03-26-image-stitching-part-1.markdown

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title: "Image Stitching: Part 1"
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date: 2017-03-26
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This is Part 1 of 2 in my posts about how to stitch two images together using Julia. It's rough around the edges, since I'm learning how to do this myself. In Part 1 I talk about finding keypoints, descriptors, and matching two images together. Next time, I'll talk about how to estimate the image transformation and how to actually do the stitching.
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I've included my notebook here. You can see the original [on Github](https://github.com/mprat/learningjulia/blob/master/notebooks/05-image-stitching-part-1.ipynb) if you like.
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_Note: There are a number of places where I've included the Jupyter Notebook widgets in the rendering below. You can click buttons and slide sliders, but it does not affect the output. It's fun to play with the widgets though!_
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You can also skip to any of the headers below:
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* [Setting up and loading images](#Setting-up-and-loading-images)
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* [Extracting feature points](#Extracting-feature-points)
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* [Extracting feature points](#Extracting-Feature-Points)
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* [Visualizing keypoints](#Visualizing-keypoints)
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* [Calculating descriptors](#Calculating-descriptors)
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* [Matching keypoints and descriptors](#Matching-keypoints-and-descriptors)
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* [Matching keypoints and descriptors](#Matching-keypoints)
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* [The end result](#The-end-result)
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{% include notebook.html name='05-image-stitching-part-1' %}
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