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README.md

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@@ -7,8 +7,9 @@ A 3D modeling algorithm implementation for generating 3D models from 2D images.
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* Bundle adjustment, i.e. an overall optimization to refine the 3D points and the projection matrices by minimizing the reprojection error of the 3D points back to each view.
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* Self-calibration to estimate the camera intrisic parameters for each view, and transform the 3D structure from the projective to metric space.
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Take a look at [1,2,3] for more details into 3D modeling. The code here is a revised version of the core algorithm used in [3], where it was coupled with a generic face model to transform the 3D structure into the Euclidean space for face modeling purposes.
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Take a look at [1,2,3] for more details into 3D modeling. This repository contains a revised version of the source code for the paper [3], where it was coupled with a generic face model to transform the 3D structure into the Euclidean space for face modeling purposes.
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![Overview](imgs/demo.png)
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## Prerequisites
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The following python packages are required to run the projet:

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