Appearance-Based Classification and Recognition Using Spectral Histogram Representations and Hierarchical Learning for OCA
This thesis is composed of two parts. Part one is on Appearance-Based Classification and Recognition Using Spectral Histogram Representations. We present a unified method for appearance-based applications including texture classification, 2D object recognition, and 3D object recognition using spectr...
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| Format: | Others |
| Language: | English English |
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Florida State University
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| Online Access: | http://purl.flvc.org/fsu/fd/FSU_migr_etd-0544 |