Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6792
Title: Mid-Level Vision and Recognition of Non-Rigid Objects
Keywords: vision
Issue Date: 9-Oct-2013
Description: We 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.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/1721
Other Identifiers: AITR-1442
http://hdl.handle.net/1721.1/6792
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