Some Experiments in Applying Inductive Inference Principles to Surface Reconstruction
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Vision and Robotics. Pages 1603-1608.
Abstract
This paper presents an applica~on. of the ~inim~m Description-Length (MDL) pnnctple of mducttve learning to the surface reconstruction problem of computer vision. The application demonstrates that the MDL principle can be applied to practical problems while preserving its convergence properties. It also illustrates how at least one aspect of computer vision (i.e., surface reconstruction) can be treated as an inductive inference problem using this principle. This has the advantage that the convergence properties of the MDL principle enable an exact surface reconstruction to be obtained asymptotically as the number of available data points increases. Moreover, convergence to the true surface occurs independent of the amount of error in the measurements.
@inproceedings{ijcai1989p255,
title = {Some Experiments in Applying Inductive Inference Principles to Surface Reconstruction},
author = {Pednault, Edwin P. D.},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {1603--1608},
year = {1989},
month = {8},
note = {Vision and Robotics},
url = {https://ijcai.org/proceedings/1989/255},
}
TY - CPAPER TI - Some Experiments in Applying Inductive Inference Principles to Surface Reconstruction AU - Pednault, Edwin P. D. T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 1603 EP - 1608 UR - https://ijcai.org/proceedings/1989/255 ER -Copied
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