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Optical Flow
The goal of this work was to compute optical flow information between video frames for frame interpolation. This was achieved using an over-segmentation approach that simultaneously computed the flow vectors and image segmentations. To increase the quality of the interpolation results matting information was also computed. A detailed description of the algorithm can be found in our ICCV 2005 paper.
Here are several examples of frame interpolation using our algorithm: |
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2 input frames with 15 frames interpolated.
5 input frames with 5 frames interpolated between each pair.
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2 input frames with 15 frames interpolated.
5 input frames with 5 frames interpolated between each pair.
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Motion Blur |
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Here's an example video demonstrating exaggerated motion blur using the above technique for frame interpolation.
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