Using the Z-bellSM Test to Remediate Spatial Deficiencies in Non-Image-Forming Retinal Processing

Clark Elliott, Cynthia Putnam, Deborah Zelinsky, Daniel Spinner, Silpa Vipparti, Abhinit Nitin Parelkar. Using the Z-bellSM Test to Remediate Spatial Deficiencies in Non-Image-Forming Retinal Processing. In Kohei Arai, Supriya Kapoor, editors, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference, CVC 2019, Las Vegas, Nevada, USA, 25-26 April 2019, Volume 1. Volume 943 of Advances in Intelligent Systems and Computing, pages 564-579, Springer, 2019. [doi]

@inproceedings{ElliottPZSVP19,
  title = {Using the Z-bellSM Test to Remediate Spatial Deficiencies in Non-Image-Forming Retinal Processing},
  author = {Clark Elliott and Cynthia Putnam and Deborah Zelinsky and Daniel Spinner and Silpa Vipparti and Abhinit Nitin Parelkar},
  year = {2019},
  doi = {10.1007/978-3-030-17795-9_41},
  url = {https://doi.org/10.1007/978-3-030-17795-9_41},
  researchr = {https://researchr.org/publication/ElliottPZSVP19},
  cites = {0},
  citedby = {0},
  pages = {564-579},
  booktitle = {Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference, CVC 2019, Las Vegas, Nevada, USA, 25-26 April 2019, Volume 1},
  editor = {Kohei Arai and Supriya Kapoor},
  volume = {943},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-17795-9},
}