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Glasses detection and extraction by deformable contour

Authors: Zhong Jing; Robert Mariani;

Glasses detection and extraction by deformable contour

Abstract

To achieve a face recognition system robust to the presence of spectacles, we have developed a spectacle detection and extraction algorithm. The detection is realized using edge information within a small area defined between the eyes. The extraction is achieved with a deformable contour, combining edge features such as strength and orientation and geometrical features such as convexity, symmetry, smoothness and continuity. The final position of the deformable contour is obtained using dynamic programming. Experimental results demonstrate the effectiveness of the method, and the robustness to the variation of spectacle shapes and colours.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Average
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