首页> 外文会议>European Conference on Computer Vision(ECCV 2006) pt.2; 20060507-13; Graz(AT) >Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions
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Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions

机译:视点诱发的变形统计数据和视点不变特征的设计:奇异点和遮挡

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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:我们研究了通过有利位置的变化在三维场景图像上引起的区域变形集。我们对这些变形进行参数化,并得出参数的经验统计数据,这些统计数据显示出类似于自然图像和范围统计数据的峰度行为。这种行为表明大多数变形是局部平滑的,因此可以通过简单的参数图(例如仿射图)捕获。但是,我们表明,由奇异性和闭塞边界引起的变形虽然很少见,但却非常显着,因此值得开发专用的描述符。因此,我们说明了奇点以及遮挡边界的视点不变描述符的发展。我们在基于仿射不变区域描述符的现有技术未能建立对应关系的场景上测试它们的性能,突出了我们方法的特征和缺点。

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