Computing Convergence Angle From Random Dot Stereograms

Prazdny, K.

Computing Convergence Angle From Random Dot Stereograms

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Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Vision. Pages 1050-1051.

Abstract

Camera calibration is difficult in random dot stereograms lacking monocularly distinguishable features. An algorithm for computing the convergence angle from purely visual information without a prior solution to the correspondence problem was developed and tested. It is an experimental validation of some ideas first outlined in a previous report.

K. Prazdny. 1983. Computing Convergence Angle From Random Dot Stereograms. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83. IJCAI, 1050–1051. https://ijcai.org/proceedings/1983/243

@inproceedings{ijcai1983p243,
  title     = {Computing Convergence Angle From Random Dot Stereograms},
  author    = {Prazdny, K.},
  booktitle = {Proceedings of the Eighth International Joint Conference on
               Artificial Intelligence, {IJCAI-83}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Alan Bundy},
  pages     = {1050--1051},
  year      = {1983},
  note      = {Vision},
  url       = {https://ijcai.org/proceedings/1983/243},
}

TY  - CPAPER
TI  - Computing Convergence Angle From Random Dot Stereograms
AU  - Prazdny, K.
T2  - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1983
SP  - 1050
EP  - 1051
UR  - https://ijcai.org/proceedings/1983/243
ER  -