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Face alignment by coarse-to-fine shape searching | IEEE Conference Publication | IEEE Xplore

Face alignment by coarse-to-fine shape searching


Abstract:

We present a novel face alignment framework based on coarse-to-fine shape searching. Unlike the conventional cascaded regression approaches that start with an initial sha...Show More

Abstract:

We present a novel face alignment framework based on coarse-to-fine shape searching. Unlike the conventional cascaded regression approaches that start with an initial shape and refine the shape in a cascaded manner, our approach begins with a coarse search over a shape space that contains diverse shapes, and employs the coarse solution to constrain subsequent finer search of shapes. The unique stage-by-stage progressive and adaptive search i) prevents the final solution from being trapped in local optima due to poor initialisation, a common problem encountered by cascaded regression approaches; and ii) improves the robustness in coping with large pose variations. The framework demonstrates real-time performance and state-of-the-art results on various benchmarks including the challenging 300-W dataset.
Date of Conference: 07-12 June 2015
Date Added to IEEE Xplore: 15 October 2015
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Conference Location: Boston, MA, USA

References

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