Fitting Models to Distributed Representations of Vision
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Action and Perception. Pages 3-8.
Abstract
Many representations in early VISion can be constructed by performing orientation analysis along several sampling dimensions. Texture is often oriented in space, motion is oriented in space-time, and stereo is oriented in spacedisparity . In these modalities, we can construct distributed representations with oriented energy measures used in models of biological vision. Surface models of orientation, velocity, and disparity can easily be fit to distributed re presentations of texture, motion, and stereo by combining tools of orientation analysis and regularization. We describe base representation construction and model fitting processes in these domains.
@inproceedings{ijcai1995p1,
title = {Fitting Models to Distributed Representations of Vision},
author = {Niyogi, Sourabh A.},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {3--8},
year = {1995},
note = {Action and Perception},
url = {https://ijcai.org/proceedings/1995/1},
}
TY - CPAPER TI - Fitting Models to Distributed Representations of Vision AU - Niyogi, Sourabh A. T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 3 EP - 8 UR - https://ijcai.org/proceedings/1995/1 ER -Copied
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