首页> 外文会议>European Conference on Computer Vision(ECCV 2006) pt.2; 20060507-13; Graz(AT) >Nonrigid Shape and Motion from Multiple Perspective Views
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Nonrigid Shape and Motion from Multiple Perspective Views

机译:多种视角的非刚性形状和运动

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We consider the problem of nonrigid shape and motion recovery from point correspondences in multiple perspective views. It is well known that the constraints among multiple views of a rigid shape are multilinear on the image points and can be reduced to bilinear (epipolar) and trilinear constraints among two and three views, respectively. In this paper, we generalize this classic result by showing that the constraints among multiple views of a nonrigid shape consisting of K shape bases can be reduced to multilinear constraints among K + [(K + 1)/2], ···, 2K + 1 views. We then present a closed form solution to the reconstruction of a nonrigid shape consisting of two shape bases. We show that point correspondences in five views are related by a nonrigid quintifocal tensor, from which one can linearly compute nonrigid shape and motion. We also demonstrate the existence of intrinsic ambiguities in the reconstruction of camera translation, shape coefficients and shape bases. Examples show the effectiveness of our method on nonrigid scenes with significant perspective effects.
机译:我们从多个透视图中的点对应关系考虑非刚性形状和运动恢复的问题。众所周知,刚性形状的多个视图之间的约束在像点上是多线性的,并且可以分别减小为两个和三个视图之间的双线性(三极)约束和三线性约束。在本文中,我们通过证明可以将由K个形状基数组成的非刚性形状的多个视图之间的约束简化为K + [(K + 1)/ 2],···,2K之间的多线性约束,来推广这一经典结果。 + 1次观看。然后,我们提出了一种封闭形式的解决方案,以重构由两个形状基础组成的非刚性形状。我们表明,五个视图中的点对应关系由非刚性五焦点张量关联,从中可以线性计算非刚性形状和运动。我们还证明了在相机平移,形状系数和形状基础的重建中存在固有歧义。实例显示了我们的方法在非刚性场景上具有明显的透视效果的有效性。

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