@inproceedings{c1ba750e18bd476ea4aa887e8931e83d,
title = "A Parallel Network for the Computation of Structure from Long-Range Motion",
abstract = "We propose a parallel architecture to compute the 3-D structure of a moving scene from a long image sequence, using a principle known as the Incremental Rigidity Scheme. At each instant an internal model of the 3-D structure is updated, based upon the observations accumulated until now. The updating process favors rigid transformations but tolerates a limited deviation from rigidity. This deviation eventually leads the internal model to converge towards the actual 3-D structure of the scene. The main advantage of this architecture is its ability to accurately estimate the 3-D structure of the scene, at a low computational cost. Testing has been succesfully performed on synthetic data as well as real image sequences.",
keywords = "computer networks, concurrent computing, layout, image sequences, parallel architectures, image converters, computer architecture, computational efficiency, testing, performance evaluation",
author = "Robert Lagani{\`e}re and Fr{\'e}d{\'e}ric Labrosse and P. Cohen",
note = "Publisher Copyright: {\textcopyright} 1992 IEEE; 1992 International Joint Conference on Neural Networks, IJCNN 1992 ; Conference date: 07-06-1992 Through 11-06-1992",
year = "1992",
doi = "10.1109/IJCNN.1992.227161",
language = "English",
isbn = "0-7803-0559-0",
series = "Proceedings of the International Joint Conference on Neural Networks",
publisher = "IEEE Press",
pages = "278--285",
booktitle = "Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992",
address = "United States of America",
}