Optimize open source SFM library -- repost

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Hi,

I need someone to optimize an open source SFM library to work with certain types of image sets that we have. You can use any open SLAM or SFM library to get the required output, which is to have image matching and localisation.

You must have experience in computer vision, SLAM or SFM to do this. Please don't apply if you don't have experience with these technologies.

The primary outcomes of this project would be

- The SFM algorithm can easily work with our images

- The algorithm creates a detailed point cloud, even with very few images

- Generating a 3D layouts from the point cloud + images

- The algorithm must detect walls and corners within an indoor space, this information must be fed back into a JSON file.

- UI with ability to manually add matching points and tracks in case no match is found between images

Програмування на C++ OpenCV Python

ID Проекту: #18296477

Про проект

3 заявок(-ки) Дистанційний проект Остання активність 5 роки(ів) тому

3 фрілансерів(-и) готові виконати цю роботу у середньому за $1083

prefectworld

Software Engineer | Neural Networks | DSP | Java,C/C++,Matlab My expertise is centered on designing and developing intelligent and adaptive applications using the techniques of Neural Networks and Digital Signal Proce Більше

$750 AUD за 2 дні(-в)
(9 відгуків(и))
4.2
cometgroup

Hi I have read your project description carefully I am very interested in this project. I have a lot of experience in this type of work. I'm sure I can complete it on time with high quality according to your requ Більше

$1250 AUD за 20 дні(-в)
(2 відгуків(и))
2.6