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机译:鲁棒仿射和非刚性点集匹配的概率模型
Key Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, Beijing, China;
Key Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, Beijing, China;
Beijing Institute of New Technology Applications, Beijing Academy of Science and Technology, Beijing, China;
School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China;
Probabilistic logic; Robustness; Iterative closest point algorithm; Approximation algorithms; Inference algorithms; Graphical models; Gaussian mixture model;
机译:基于鲁棒点集匹配的逆一致非刚性图像配准
机译:使用具有现有概率建模的学生-T混合模型准确和坚固的非刚性点设置注册
机译:基于非均匀高斯混合模型的鲁棒非刚性点集配准方法
机译:基于核密度相关的非刚性点集匹配,用于基于统计模型的2D / 3D重构
机译:用于构建和维护3D模型的高效仿射图像匹配。
机译:基于鲁棒点集匹配的逆一致非刚性图像配准
机译:基于鲁棒点集匹配的逆一致非刚性图像配准
机译:具有拓扑 - 鲁棒非刚性形状匹配的扩散几何的Gromov-Hausdorff框架