Rotoscope Automation with Deep Learning
We present a deep learning-based algorithm that can automatically rotoscope people in a given scene, without any user input. Current approaches to image matting require a significant amount of human input, irrespective of whether it is manually rotoscoped or through a chroma key. This study shows that this algorithm can perform as well as and even surpass the rotoscoping capabilities of the Adobe After Effects’ RotoBrush tool, in a variety of scenes comprising different lighting conditions, movements, and subjects. This makes it suitable for integration within a visual effects (VFX) pipeline.
- Print ISSN
- 1545-0279
- Electronic ISSN
- 2160-2492
- Published
- 2020-03
- Content type
- Original Research
- Keywords
- Compositing, deep learning, image matting, instance segmentation
- DOI
- 10.5594/JMI.2019.2959967
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