Integrating vision modules with coupled MRFs
Name
AI_WP_285.pdf
Description
Main article
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847.56 KB
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Checksum (MD5)
3375363a5519b4e68a8fb2102c2a3043
Author(s)
Poggio, Tomaso
Date Issued
December 1985
Publisher
MIT Artificial Intelligence Laboratory
Series/Report no.
MIT Artificial Intelligence Laboratory Working Papers, WP-285
Abstract
I outline a project for integrating several early visual modalities based on coupled Markov Random Fields models of the physical processes underlying image formation, such as depth, albedo and orientation of surfaces. The key ideas are:
a) to use as input data estimates of the various processes and their discontinuities, computed by several different algorithms.
b) to implement with MRFs the physical and geometrical constraints of local "continuity" of the processes and of their discontinuities. Processes are coupled to each other: the most common form of coupling is a veto — one process vetoing another — as in the case of discontinuities and the associated continuous field.
Description
A. I. Laboratory Working Papers are produced for internal circulation and contain proteins, lipids, cholesterol, polysorbate-80, and other compounds unsuitable for external exposure. It is not intended that material in this paper be applied externally; it is intended for internal consumption only. Serving suggestion: add taco sauce (not included).
Subjects
Integration
Early Vision
Vision Machine
Segmentation
Hybrid Networks
MRF
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