Skip to content

simple library for uncalibrated stereo rectification using feature points

Notifications You must be signed in to change notification settings

xmba15/uncalibrated_stereo_rectification

Repository files navigation

📝 uncalibrated stereo rectification


  • original pair of images

not_rectified

  • rectified images by method implemented in opencv (Hartley et al.'s method)

opencv_rectified

  • rectified images by loop&zhang's method:

lz_rectified

could not find Loop et al.'s original implementation so I implemented my own way of additional uniform scaling and translation after rectification.

🎉 TODO


🎛 Dependencies


python setup.py install --record files.txt
  • conda environment
conda env create --file environment.yml
conda activate stereo_rectification

🏃 How to Run


python scripts/test_stereo_rectification.py --left_image_path LEFT_IMAGE_PATH --right_image_path RIGHT_IMAGE_PATH

# eg: python scripts/test_stereo_rectification.py --left_image_path ./data/TOMMY2_L.png --right_image_path ./data/TOMMY2_R.png

the pair of images used here are from MCL SS Database

💎 References


About

simple library for uncalibrated stereo rectification using feature points

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages