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A Learning Theoretic Approach to Differential and Perceptual Geometry Part I: Curvature and Torsion are the Independent Componets of Space Crves.

机译:差分和感知几何部分的学习理论方法I:曲率和扭转是空间杆的独立组件。

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In standard differential geometry, the Fundamental Theorem of Space Curves states the that two differnetial invariants of a curve, namely curvature and torsion, determien its geometry, or equivalently, he isometry class of the curve up to rigid motions in the Euclidean three-dimensional space. Consider a physical model of a space curve made from a sufficiently thin, yet visible rigid wire, and the problem of perceptual identification (by a human observer or a robot) of two given physical model curves. In a previous paper (perceptual geometry) we have emphaized a learning theoretic approach to construct a perceptual geoemtry of the surfaces in the environment. In paritcular, we have described a computational method for mathematical representation of objects in the perceptual geoemtry inspired by the ecological theory of Gibson, and adhering to the principles of Gestalt in perceptual organization of vision. In this paper, we continue our learnign theoretic treatment of perceptual geometry of objects, focusing on the case of physical models of space curves. In particular, we address the question of perceptually distinguishing two possibly novel space curves based on observer's prior visual experience of physical models of curves in the environemtn. The Fundamental Theorem of Space Curves inspires an analogous result in perceptual geoemtry as follows. We apply learning theory to the statistics of a sufficiently rich collection of physical models of curves, to derive two statistically independent local functions, that we call by analogy, the curvature and torsion. This pair of invariants distinguish physical models of curves in the sense of perceptual geoemtry. That is, in an appropriate resolution, an observer can distinguish two perceptually identical physical models in differnet locations. If these pairs of functions are approximately the same for two givne space curves, then after possibly some changes of viewing planes, the observer cofirms the two are the same.
机译:在标准差异几何形状中,空间曲线的基本定理状态指出了曲线的两个差异不变,即曲率和扭转,确定其几何形状,或等同地,他在欧几里德三维空间中的刚性运动的曲线的曲线等量级别。考虑由两个给定物理模型曲线的足够薄但可见的刚性导线制成的空间曲线的物理模型,以及感知识别(通过人类观察者或机器人)的问题。在先前的论文中(感知几何形状),我们强调了一种学习理论方法来构建环境中表面的感知地理学。在Pariticular中,我们已经描述了由吉布森生态学理论引发的感知地理化学中对象的数学表示的计算方法,并遵守嘉年华族的甲克塔的原理。在本文中,我们继续使用对物体感知几何形状的学习理论处理,重点是空间曲线物理模型的情况。特别是,我们解决了基于观察者在Environemtn中的曲线的物理模型的现有视觉体验的基础上区分两个可能的新型空间曲线的问题。太空曲线的基本定理激发了如下的感知地理学的类似结果。我们将学习理论应用于足够丰富的曲线物理模型的统计数据,以推导出两种统​​计上独立的本地功能,通过类比,曲率和扭转来调用。这对不变性区分了感知地理学意义上的曲线的物理模型。也就是说,在适当的分辨率中,观察者可以将两个感知相同的物理模型区分开在不同的位置。如果两个Givne空间曲线对其函数对大致相同,那么在可能的一些观看平面的变化之后,观察者也可以相同。

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