Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting
作者: Amin JourablooXiaoming Liu
作者单位: 1Michigan State University
刊名: International Journal of Computer Vision, 2017, Vol.124 (2), pp.187-203
来源数据库: Springer Nature Journal
DOI: 10.1007/s11263-017-1012-z
关键词: Pose-invariant face alignmentCNNCascaded regressorDense model fittingMirrorability constraint
英文摘要: Pose-invariant face alignment is a very challenging problem in computer vision, which is used as a prerequisite for many facial analysis tasks, e.g., face recognition, expression recognition, and 3D face reconstruction. Recently, there have been a few attempts to tackle this problem, but still more research is needed to achieve higher accuracy. In this paper, we propose a face alignment method that aligns an image with arbitrary poses, by combining the powerful cascaded CNN regressors, 3D Morphable Model (3DMM), and mirrorability constraint. The core of our proposed method is a novel 3DMM fitting algorithm, where the camera projection matrix parameters and 3D shape parameters are estimated by a cascade of CNN-based regressors. Furthermore, we impose the mirrorability constraint during the...
原始语种摘要: Pose-invariant face alignment is a very challenging problem in computer vision, which is used as a prerequisite for many facial analysis tasks, e.g., face recognition, expression recognition, and 3D face reconstruction. Recently, there have been a few attempts to tackle this problem, but still more research is needed to achieve higher accuracy. In this paper, we propose a face alignment method that aligns an image with arbitrary poses, by combining the powerful cascaded CNN regressors, 3D Morphable Model (3DMM), and mirrorability constraint. The core of our proposed method is a novel 3DMM fitting algorithm, where the camera projection matrix parameters and 3D shape parameters are estimated by a cascade of CNN-based regressors. Furthermore, we impose the mirrorability constraint during the...
全文获取路径: Springer Nature  (合作)
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影响因子:3.623 (2012)

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关键词翻译
关键词翻译
  • invariant 不变量
  • cascade 小瀑布
  • recognition 识别
  • constraint 约束
  • prerequisite 必要前提
  • regressor 回归量
  • arbitrary 任意的
  • projection 投射
  • shape 形状
  • reconstruction 复原