A Kalman filter approach for accurate 3D motion estimation from a sequence of stereo images

Sukhan Lee 0001, Youngchul Kay. A Kalman filter approach for accurate 3D motion estimation from a sequence of stereo images. In 10th IAPR International Conference on Pattern Recognition, Conference A: Computer Vision & Conference B Pattern recognition systems and applications, ICPR 1990, Atlantic City, NJ, USA, 16-21 June, 1990, Volume 1. pages 104-108, IEEE, 1990. [doi]

@inproceedings{LeeK90-3,
  title = {A Kalman filter approach for accurate 3D motion estimation from a sequence of stereo images},
  author = {Sukhan Lee 0001 and Youngchul Kay},
  year = {1990},
  doi = {10.1109/ICPR.1990.118073},
  url = {https://doi.org/10.1109/ICPR.1990.118073},
  researchr = {https://researchr.org/publication/LeeK90-3},
  cites = {0},
  citedby = {0},
  pages = {104-108},
  booktitle = {10th IAPR International Conference on Pattern Recognition, Conference A: Computer Vision & Conference B Pattern recognition systems and applications, ICPR 1990, Atlantic City, NJ, USA, 16-21 June, 1990, Volume 1},
  publisher = {IEEE},
  isbn = {9780818620621},
}