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Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions

机译:ViewPoint诱导变形统计和视点不变特征的设计:奇点和闭塞

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We study the set of domain deformations induced on images of three-dimensional scenes by changes of the vantage point. We parametrize such deformations and derive empirical statistics on the parameters, that show a kurtotic behavior similar to that of natural image and range statistics. Such a behavior would suggest that most deformations are locally smooth, and therefore could be captured by simple parametric maps, such as affine ones. However, we show that deformations induced by singularities and occluding boundaries, although rare, are highly salient, thus warranting the development of dedicated descriptors. We therefore illustrate the development of viewpoint invariant descriptors for singularities, as well as for occluding boundaries. We test their performance on scenes where the current state of the art based on affine-invariant region descriptors fail to establish correspondence, highlighting the features and shortcomings of our approach.
机译:我们研究了在Vantage点的变化的三维场景图像上引起的域变形。我们参加了这种变形并导出了对参数的经验统计数据,显示了类似于自然图像和范围统计的血型行为。这样的行为建议大多数变形是局部光滑的,因此可以通过简单的参数映射捕获,例如仿射映射。然而,我们表明,奇点和闭塞边界虽然罕见,但罕见的是罕见的,因此需要开发专用描述符的发展。因此,我们说明了对奇点的观点不变描述符的发展,以及用于闭塞边界。我们在基于仿射不变区域描述符的基于仿射不变区域描述符的现有状态下的场景中测试其性能未能建立对应关系,突出显示我们方法的特征和缺点。

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