openAR | OpenCV based Augmented Reality Program | Augmented Reality library

by bharathp666 C++ Version: Current License: No License

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kandi X-RAY | openAR Summary

openAR is a C++ library typically used in Virtual Reality, Augmented Reality, OpenCV applications. openAR has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

OpenCV based Augmented Reality Program

Support

Quality

Security

License

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Support

openAR has a low active ecosystem.

It has 98 star(s) with 40 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of openAR is current.

Quality

openAR has no bugs reported.

Security

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

License

openAR does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

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openAR Key Features

No Key Features are available at this moment for openAR.

openAR Examples and Code Snippets

No Code Snippets are available at this moment for openAR.

Community Discussions

Trending Discussions on openAR

Integrate RANSAC to compute essential matrix

QUESTION

Integrate RANSAC to compute essential matrix

Asked 2017-Dec-27 at 20:43

I have calculated the essential matrix using the 5 point algorithm. I'm not sure how to integrate it with ransac so it gives me a better outcome.

Here is the source code. https://github.com/lunzhang/openar/blob/master/src/utils/5point/computeEssential.js

Currently, I was thinking about computing the essential matrix for 5 random points then convert the essential matrix to fundamental and see the error threshold using this equation x'Fx = 0. But then I'm not sure, what to do after.

How do I know which points to set as outliners? If the errors too big, do I set them as outliners right away? Could it be possible that one point could produce different essential matrices depending on what the other 4 points are?

...

ANSWER

Answered 2017-Dec-27 at 20:43

Well, here is a short explanation, in pseudo-code, of how you can integrate this with ransac. Basically, all Ransac does is compute your model (here the Essential) using a subset of the data, and then sees if the rest of data "is happy" with that result. It keeps the result for which a highest portion of the dataset "is happy".

Source https://stackoverflow.com/questions/47995636

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install openAR

You can download it from GitHub.

Support

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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