IEEE Trans Image Process - Robust 3D face landmark localization based on local coordinate coding.

Tópicos

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Resumo

In the 3D facial animation and synthesis community, input faces are usually required to be labeled by a set of landmarks for parameterization. Because of the variations in pose, expression and resolution, automatic 3D face landmark localization remains a challenge. In this paper, a novel landmark localization approach is presented. The approach is based on local coordinate coding (LCC) and consists of two stages. In the first stage, we perform nose detection, relying on the fact that the nose shape is usually invariant under the variations in the pose, expression, and resolution. Then, we use the iterative closest points algorithm to find a 3D affine transformation that aligns the input face to a reference face. In the second stage, we perform resampling to build correspondences between the input 3D face and the training faces. Then, an LCC-based localization algorithm is proposed to obtain the positions of the landmarks in the input face. Experimental results show that the proposed method is comparable to state of the art methods in terms of its robustness, flexibility, and accuracy.

Resumo Limpo

d facial anim synthesi communiti input face usual requir label set landmark parameter variat pose express resolut automat d face landmark local remain challeng paper novel landmark local approach present approach base local coordin code lcc consist two stage first stage perform nose detect reli fact nose shape usual invari variat pose express resolut use iter closest point algorithm find d affin transform align input face refer face second stage perform resampl build correspond input d face train face lccbase local algorithm propos obtain posit landmark input face experiment result show propos method compar state art method term robust flexibl accuraci

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