Subspace learning from image gradient orientations
We introduce the notion of subspace learning from image gradient orientations for appearance-based object recognition. As image data is typically noisy and noise is substantially different from Gaussian, traditional subspace learning from pixel intensities fails very often to estimate reliably the l...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2012
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/31424/ |