Rotation before Recognition: Orientation-Invariant Identification of Visual Textures with ARTEX 2
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Abstract
We describe the ARTEX 2 neural network for recognition of visual textures at arbitrary orientations. ARTEX 2 recognizes visual textures by first passing them through a preprocessing stage which rotates them to a canonical orientation. The resulting canonically-oriented visual textures are then classified by a simplified version of the ARTEX texture-recognition algorithm. Several approaches to determining the proper angle for rotation to a canonical orientation are investigated, and their respective performances are compared on a 20-class database of visual textures.
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Copyright 1999 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.