Show simple item record

Integrating vision modules with coupled MRFs

dc.date.accessioned2008-04-29T13:52:18Z
dc.date.accessioned2018-11-26T22:24:55Z
dc.date.available2008-04-29T13:52:18Z
dc.date.available2018-11-26T22:24:55Z
dc.date.issued1985-12
dc.identifier.urihttp://hdl.handle.net/1721.1/41495
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/41495
dc.descriptionA. 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).en
dc.description.abstractI 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.en
dc.language.isoen_USen
dc.publisherMIT Artificial Intelligence Laboratoryen
dc.subjectIntegrationen
dc.subjectEarly Visionen
dc.subjectVision Machineen
dc.subjectSegmentationen
dc.subjectHybrid Networksen
dc.subjectMRFen
dc.titleIntegrating vision modules with coupled MRFsen
dc.typeWorking Paperen


Files in this item

FilesSizeFormatView
AI_WP_285.pdf867.9Kbapplication/pdfView/Open

This item appears in the following Collection(s)

Show simple item record