Data Fusion and Confidence in Image Feature Detection and Mahalanobis Distance

Zhu Qiu-yu; Wang Shuo-zhong

doi:10.3724/SP.J.1146.2006.01199

Volume 30 Issue 3

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(3): 534-538

Zhu Qiu-yu, Wang Shuo-zhong . Data Fusion and Confidence in Image Feature Detection and Mahalanobis Distance[J]. Journal of Electronics & Information Technology, 2008, 30(3): 534-538. doi: 10.3724/SP.J.1146.2006.01199

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Zhu Qiu-yu, Wang Shuo-zhong . Data Fusion and Confidence in Image Feature Detection and Mahalanobis Distance[J]. Journal of Electronics & Information Technology, 2008, 30(3): 534-538. doi: 10.3724/SP.J.1146.2006.01199

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Data Fusion and Confidence in Image Feature Detection and Mahalanobis Distance

doi: 10.3724/SP.J.1146.2006.01199 cstr: 32379.14.SP.J.1146.2006.01199

Received Date: 2006-08-14
Rev Recd Date: 2007-05-15
Publish Date: 2008-03-19

Abstract

Abstract

Using a statistical approach, data fusion is performed in image feature detection with which information about the same feature obtained by multiple methods can be integrated. Validity of the described fusion scheme and properties of the fused data are discussed. A confidence measure is defined and applied to evaluate credibility of the results. Taking into account the data fusion and confidence measure, a Mahalanobis distance is derived. The technique is applied to face retrieval and its canthus detection. Experimental results show that the proposed approach can reduce adverse effects of feature detection errors and enhance the pattern recognition rate.

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References(1)

References

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