Mid-Level Vision and Recognition of Non-Rigid Objects

Title: en_US Mid-Level Vision and Recognition of Non-Rigid Objects
Creator: en_US Subirana-Vilanova, J. Brian
Date: 2004-10-20T19:55:13Z
Date Available: 2004-10-20T19:55:13Z
Date Issued: en_US 1995-04-01
Identifier: en_US AITR-1442
uri: http://hdl.handle.net/1721.1/6792
Abstract: en_US 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.
Extent: en_US 239 p.; 48192029 bytes; 2356367 bytes
Format: application/postscript; application/pdf
Language: en_US
Relation: en_US AITR-1442
Subject: en_US vision