The videos below show RidgeSfM reconstructions for a video captured on a mobile phone (every 3rd frame).
For each scene, we use the reconstructed depth and camera parameters to reproject the pixels to form a point cloud. Each point in the cloud has the form (x,y,z,r,g,b) ∈ ℝ6. To simplify the point-cloud, we use K-Means to extract 100,000 centroids.
| For each video | |
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| Top left: the rendered point cloud. |
Top right: The focal-plane trajectory for the predicted camera locations. |
| Bottom left: The input video. | Bottom right: The focal-plane trajectory of the ground truth camera locations. |
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| Using MeshLab to display the point cloud: | |
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