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A camera planning method for the 3D reconstruction of a single object based on statistical deformation model

机译:基于统计变形模型的单个物体3D重建的摄像机规划方法

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摘要

In order to provide sufficient information for the 3D reconstruction of a single, static and known type object, this paper proposes measure indexes to evaluate the information amount and a camera planning method to guide the search of the optimal camera positions. The planning method is based on Statistical Deformation Model (SDM) which is generated from Point Distribution Model (PDM) by the Principal Component Analysis (PCA) method. The position from which the individual factor coefficients are observed clearly and the principal shape features are identified distinctly is the best viewpoint. The observed times of landmark are used to exclude the redundancy among views. So, in an iteration process new SDM is repeatedly computed to pick out the optimal viewpoints until all the landmarks are observed sufficiently. Therefore abundant information with the minimum redundancy is provided by fewer cameras, and an experiment which layout cameras for foot reconstruction was demonstrated.
机译:为了为单个,静态和已知类型对象的3D重建提供足够的信息,本文提出了用于评估信息量的度量指标和指导最佳摄像机位置搜索的摄像机规划方法。该计划方法基于统计变形模型(SDM),该模型是通过点分布模型(PDM)通过主成分分析(PCA)方法生成的。最好的观点是清楚观察各个因子系数并明确识别主要形状特征的位置。观察到的界标时间用于排除视图之间的冗余。因此,在迭代过程中,将反复计算新的SDM以挑选出最佳视点,直到充分观察到所有界标为止。因此,通过较少的摄像机就可以提供具有最小冗余度的丰富信息,并且还演示了布局摄像机以进行脚部重建的实验。

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