Fast Foreground Estimation Save

Official repository for the paper Approximate Fast Foreground Colour Estimation. ICIP 2021.

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Approximate Fast Foreground Colour Estimation

Official repository for the paper Approximate Fast Foreground Colour Estimation. ICIP 2021. Awarded Best Industry paper.

Naively compositing without an estimate of foreground colour leads to bleed-through of the original background.

In this work, we propose a foreground estimation technique. Our method can be implemented 11 lines of Python code and yields comparable results to the full approach [1], while also being faster.

Teaser

API Usage

PhotoRoom includes foreground estimation by default in the Backround Removal API, see documentation.

Requirements

  • numpy # For mathematical operations.
  • opencv-python # Efficient blur implementation.

Citation

@INPROCEEDINGS{ApproxForegroundForte2021,
  author={Marco Forte},
  booktitle={2021 IEEE International Conference on Image Processing (ICIP)}, 
  title={Approximate Fast Foreground Colour Estimation}, 
  year={2021},
  doi={10.1109/ICIP42928.2021.9506164}}

References

(1) Fast Multi-Level Foreground Estimation

Open Source Agenda is not affiliated with "Fast Foreground Estimation" Project. README Source: Photoroom/fast-foreground-estimation
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