Image Reconstruction from Zero-Crossings
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Perception. Pages 742-743.
Abstract
In the computational theory of human vision, developed by D. Marr and his school zero-c.rossings detection is proposed as one of the fust stages of human visual information proc~ssing. The justification of this theory ~equues that the zero crossings are rich in Information about the original image. In a paper, T. Poggio, H.K. Nishihara and K.R.K . Nielsen stated that a successful extension of B. Logan's analysis to two-dimensional images represents one of the critical unsolved steps of this C<?mput!ltional ~heory. Moreover, such an extension IS crucial to the question of spatiotemporal interpolation in vision. In this paper, we shall provide a solution to this problem using a theory of spherical perspective and spherical harmonics.
@inproceedings{ijcai1987p149,
title = {Image Reconstruction from Zero-Crossings},
author = {Chen, Su-Shing},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {742--743},
year = {1987},
note = {Perception},
url = {https://ijcai.org/proceedings/1987/149},
}
TY - CPAPER TI - Image Reconstruction from Zero-Crossings AU - Chen, Su-Shing T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 742 EP - 743 UR - https://ijcai.org/proceedings/1987/149 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: