Face Alignment by Coarse-to-Fine Shape Searching

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 ap-proach 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 ro-bustness in coping with large pose variations. The frame-work demonstrates real-time performance and state-of-the-art results on various benchmarks including the challenging 300-W dataset. 1