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Mid-Level Vision and Recognition of Non-Rigid Objects

dc.date.accessioned2004-10-20T19:55:13Z
dc.date.accessioned2018-11-24T10:21:52Z
dc.date.available2004-10-20T19:55:13Z
dc.date.available2018-11-24T10:21:52Z
dc.date.issued1995-04-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6792
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/6792
dc.description.abstractWe address mid-level vision for the recognition of non-rigid objects. We align model and image using frame curves - which are object or "figure/ground" skeletons. Frame curves are computed, without discontinuities, using Curved Inertia Frames, a provably global scheme implemented on the Connection Machine, based on: non-cartisean networks; a definition of curved axis of inertia; and a ridge detector. I present evidence against frame alignment in human perception. This suggests: frame curves have a role in figure/ground segregation and in fuzzy boundaries; their outside/near/top/ incoming regions are more salient; and that perception begins by setting a reference frame (prior to early vision), and proceeds by processing convex structures.en_US
dc.format.extent239 p.en_US
dc.format.extent48192029 bytes
dc.format.extent2356367 bytes
dc.language.isoen_US
dc.subjectvisionen_US
dc.titleMid-Level Vision and Recognition of Non-Rigid Objectsen_US


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