A recent trend in Non-Rigid Structure-from-Motion (NRSfM) is to express local, differential constraints between pairs of images, from which the surface normal at any point can be obtained by solving a system of polynomial equations. The systems of equations derived in previous work, however, are of high degree, having up to five real solutions, thus requiring a computationally expensive strategy to select a unique solution. Furthermore, they suffer from degeneracies that make the resulting estimates unreliable, without any mechanism to identify this situation. In this paper, we show that, under widely applicable assumptions, we can derive a new system of equation in terms of the surface normals whose two solutions can be obtained in closed-form and can easily be disambiguated locally. Our formalism further allows us to assess how reliable the estimated local normals are and, hence, to discard them if they are not. Our experiments show that our reconstructions, obtained from two or more views, are significantly more accurate than those of state-of-the-art methods, while also being faster.
翻译:“非数字结构出动”(NRSfM)的最近趋势是,对图像进行局部的差别限制,通过解决多面方程系统可以取得表面正常状态。然而,以往工作中产生的等式系统高度,有多达五个真正的解决方案,因此需要计算昂贵的战略来选择一个独特的解决方案。此外,这些图象的退化使得由此得出的估计数不可靠,没有任何机制来查明这种情况。在本文中,我们表明,在广泛适用的假设下,我们可以从表面正常状态中产生一种新的等式系统,其两种解决方案都可以以封闭形式获得,并且很容易在当地脱钩。我们的形式主义进一步使我们能够评估估计的当地正常状态有多可靠,如果不是,那么就抛弃它们。我们的实验表明,我们从两种或两种以上观点获得的重建,比目前采用的方法要准确得多,而且速度也更快。