*** We have the following 7 steps in our pipeline:
$ prepare_images
$ compute_keypoints_descriptors
$ image_matching
$ data_feature_matching
$ compute_k_matrix
$ generate_point_cloud
$ 3D reconstruction
- snow-man.
- hammer.
- cottage
? Something simplier and on our own terms
- number of clusters while image matching.
- Ransic threshold.
- Blury images.
- Change in focus.
- Change in distance.
Good Feature Match | Bad Feature Match |
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output_1_2.mp4
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