iterative_closest_point_2d | Iterative Closest Point 2D with python and opencv | Image Editing library

by KojiKobayashi Python Version: Current License: MIT

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kandi X-RAY | iterative_closest_point_2d Summary

iterative_closest_point_2d is a Python library typically used in Media, Image Editing, Numpy applications. iterative_closest_point_2d has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However iterative_closest_point_2d build file is not available. You can download it from GitHub.

#usage Call like this,. . d1, d2 are numpy array of 2d points. The return value ret is the convert matrix with 2 rows and 3 coloums. icp estimates rotation, moving, scaling(each x and y Separately) convertion.

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iterative_closest_point_2d has a low active ecosystem.

It has 13 star(s) with 11 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 923 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of iterative_closest_point_2d is current.

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iterative_closest_point_2d has no bugs reported.

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iterative_closest_point_2d has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

iterative_closest_point_2d is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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iterative_closest_point_2d releases are not available. You will need to build from source code and install.

iterative_closest_point_2d has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed iterative_closest_point_2d and discovered the below as its top functions. This is intended to give you an instant insight into iterative_closest_point_2d implemented functionality, and help decide if they suit your requirements.

Compute the distance between two points .
Check if tr is a converge .
Removes occurrences from a given distance distribution .

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iterative_closest_point_2d Key Features

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iterative_closest_point_2d Examples and Code Snippets

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Community Discussions

Trending Discussions on iterative_closest_point_2d

Python get transformation matrix from two sets of points

QUESTION

Python get transformation matrix from two sets of points

Asked 2019-Dec-12 at 10:14

I have to images, one simulation, one real data, with bright spots.

Simulation:

Reality:

I can detect the spots just fine and get the coordinates. Now I need to compute transformation matrix (scale, rotation, translation, maybe shear) between the two coordinate systems. If needed, I can pick some (5-10) corresponding points by hand to give to the algorithm

I tried a lot of approaches already, including: 2 implementations of ICP: https://engineering.purdue.edu/kak/distICP/ICP-2.0.html#ICP

https://github.com/KojiKobayashi/iterative_closest_point_2d

Implementing affine transformations: https://math.stackexchange.com/questions/222113/given-3-points-of-a-rigid-body-in-space-how-do-i-find-the-corresponding-orienta/222170#222170

Implementations of affine transformations: Determining a homogeneous affine transformation matrix from six points in 3D using Python

how to perform coordinates affine transformation using python? part 2

Most of them simply fail somehow like this: The red points are the spots from the simulation transformed into the reality - coordinate system.

The best approach so far is this one how to perform coordinates affine transformation using python? part 2 yielding this:

As you see, the scaling and translating mostly works, but the image still needs to be rotated / mirrored.

Any ideas on how to get a working algorithm? If neccessary, I can provide my current non-working implementations, but they are basically as linked.

...

ANSWER

Answered 2019-Dec-12 at 10:14

I found the error.

I used plt.imshow to display both the simulated and real image and from there, pick the reference points from which to calculate the transformation.

Turns out, due to the usual array-to-image-index-flipping-voodoo (or a bad missunderstanding of the transformation on my side), I need to switch the x and y indices of the reference points from the simulated image.

With this, everything works fine using this how to perform coordinates affine transformation using python? part 2

Source https://stackoverflow.com/questions/42953880

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No vulnerabilities reported

Install iterative_closest_point_2d

You can download it from GitHub.
You can use iterative_closest_point_2d like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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