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Method Comparison of 3D Facial Reconstruction Coresponding to 2D Image

机译:对应于2D图像的3D面部重建的方法比较

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Recent years, facial reconstruction becomes a much-studied topic. In particular, the past decade has witnessed a renewed interest, generating a large number of research centers and proposing techniques to address them but most have their limitations and drawbacks. The main constrain of attaining an accuracy of the facial information for reconstruction of its 3D counterpart was increasing accuracy for 3D face geometry. Though this topic has gained a lot of concern and popularity, a fully accurate facial reconstruction mechanism has not yet been identified due to the complexity and ambiguity involved. This survey focuses on 3D face reconstruction by presenting comparison methods beetween Shape-from-Shading, the 3D Morphable Model and Structure from Movement based on 2D face analysis with higher accuracy. 3D face model density affects the provided information. The dense of the 3D facial model is; the more information it could provide. 3D facial reconstruction method currently requires a complicated process and high system costs.
机译:近年来,面部重建成为一项多学习的主题。特别是,过去十年目睹了重新开放的兴趣,产生了大量的研究中心并提出解决它们的技术,但大多数都有他们的局限性和缺点。达到其3D对应物重建的面部信息精度的主要约束是3D面几何学的准确性。虽然这一主题已经获得了很多关注和人气,但由于所涉及的复杂性和歧义,尚未确定完全准确的面部重建机制。该调查专注于3D面部重建,通过呈现比较方法蜂绒从阴影,3D可线模型和基于2D面部分析,精度高度分析。 3D面部模型密度会影响提供的信息。 3D面部模型的密集是;它可以提供的更多信息。 3D面部重建方法目前需要复杂的过程和高系统成本。

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