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Priority and Segmentation algorithm for the 3-D motion estimation of two heads partly overlapped

机译:用于部分重叠的两个头部的3-D运动估计的优先级和分割算法

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Though many passive sensing methods have been presented for the analysis of 3D facial motion, generally those methods are useful only when the motion of a single face is analyzed. This paper presents an efficient method to analyze 3D head motion of two faces in the scene even when the areas of two faces are partly overlapped. To solve the problem which comes from overlapping of facial areas, PriSe (Priority and Segmentation) algorithm with the GRIP method is newly suggested in this paper. With our proposed method, the 3D head motion of two faces can be stably analyzed at the same time even though some parts of the faces are overlapped. Preliminary experiments for a series of real and synthesized image sequences show the effectiveness of the proposed method with sufficient accuracy to analyze two facial motions in 3D space.
机译:尽管已经提出了许多被动感测方法来分析3D面部运动,但通常这些方法仅在分析单个面部的运动时才有用。本文提出了一种有效的方法,即使两个面部的区域部分重叠,也可以分析场景中两个面部的3D头部运动。为了解决面部区域重叠带来的问题,本文提出了一种新的GRIP方法(优先与分割)算法。使用我们提出的方法,即使面部的某些部分重叠,也可以同时稳定地分析两个面部的3D头部运动。一系列真实和合成图像序列的初步实验表明,该方法具有足够的精度,能够分析3D空间中的两个面部运动,因此是有效的。

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