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Python implementation of multi-scale Harris corner detector with zernike feature descriptor as described in "Toward large-area mosaicing for underwater scientific applications".

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zernike_py

Python implementation of multi-scale Harris corner detector with zernike feature descriptor as described in "Toward large-area mosaicing for underwater scientific applications". If you use zernike_py in academic work, please cite:

O. Pizarro and H. Singh, "Toward large-area mosaicing for underwater scientific applications," in IEEE Journal of Oceanic Engineering, vol. 28, no. 4, pp. 651-672, Oct. 2003, doi: 10.1109/JOE.2003.819154.

Prerequisites

The following python packages are required to run this code:

Required:

  • opencv
  • numpy

Optional:

  • matplotlib (for displaying reults and running demo.py)
  • scipy (when using like_matlab flag)
  • matlab_imresize (when using like_matlab flag included in repo)

Installation

git clone https://gitlab.com/neufieldrobotics/zernike_py.git
cd zernike_py
# if opencv python is already installed
pip install -r requirements/base.txt
# if opencv python needs to be installed
pip install -r requirements/opencv_latest.txt

Executing

python ./demo.py

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Python implementation of multi-scale Harris corner detector with zernike feature descriptor as described in "Toward large-area mosaicing for underwater scientific applications".

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