Pixel-level similarity fusion for image classification
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Author(s)
James, Alex
Griffith University Author(s)
Year published
2010
Metadata
Show full item recordAbstract
Recent research shows that local similarity calculations play a significant role in improving the recognition performance of template matching systems. We present a new scheme for parametric similarity calculation and fusion for image classification. State-of-the-art recognition results are obtained using the proposed method for a difficult task involving face images.Recent research shows that local similarity calculations play a significant role in improving the recognition performance of template matching systems. We present a new scheme for parametric similarity calculation and fusion for image classification. State-of-the-art recognition results are obtained using the proposed method for a difficult task involving face images.
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Conference Title
2010 7th International Multi-Conference on Systems, Signals and Devices
Copyright Statement
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Subject
Signal Processing