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3d-scene-reconstruction-pipeline's Introduction

3D Scene Reconstruction Pipeline

The entire pipeline is composed of various parts.

1) Using Optical Flow to get Point Correspondences and estimate Depths.

Optical flow is computed over a small window. The smallest singular value of spatiotemporal derivative matrix is calculated and the pixels above a certain threshold value are considered.

Flow Vectors:

Alt text

Epipoles after RANSAC and satisfying planar condition equation by a threshold:

Alt text

Depths are then calculated by assuming pure translational motion:

Alt text


2) Reconstruction of 3D scene from 2 views using 2-view SFM

Feature identification using SIFT:

Alt text Alt text

Key point matching using Least Squares and RANSAC:

Alt text Alt text

Resulting Epipolar lines:

Alt text Alt text

Reprojection of points of one image onto the other:

Alt text Alt text


3) Recreate 3D Model from multi-view SFM

Input views:

Alt text

Disparity:

Alt text

Disparity and depth after post processing:

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L-R Consistency check mask:

Alt text

Reconstructed 3d model from 2 views using ZNCC Kernel - Alt text

Entire Reconstructed 3d model Alt text

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