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Camera Calibration, 2-view sparse reconstruction, Multi View Traingulation

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Robotics and Computer Vision Projects

These are a few of the codes for the projects that I did as part of the Mobile Robotics Course.

All the codes are documented and there is a report which provides certain details of the implementation and results

Monocular Camera Calibration

I wrote a code to perform monocular camera calibration using the Zhang's method in order to find the K matrix.

The accuracy of the intrinsics was evaluated using reprojection error computation.

Two View Sparse Reconstruction

I wrote a code to perform two view sparse reconstruction of an image captured by a calibrated monocular camera.

Numerical stability issues in SVD were solved by normalizing the points. The sample output is given below.

two-view-reconstruction

Multi-view triangulation and Non-linear optimizatiion

This code is used to reconstruct a 3D cube using multi-view triangulation. For this, projection matrices of all 8 views were used to set up a least square system which was solved using SVD. The results for the same (reconstruction) are shown below:

Sublime's custom image

I also implemented the trust-region strategy of LM algorithm for non-linear least square problems.

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