首页> 外文会议>Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on >Model-based nonrigid motion recovery from sequences of range images without point correspondences
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Model-based nonrigid motion recovery from sequences of range images without point correspondences

机译:从没有点对应的距离图像序列中基于模型的非刚性运动恢复

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We propose a new method for accurate nonrigid motion analysis when point correspondence data is not available. We construct nonlinear finite element models by integrating range data and prior knowledge about an object's properties. We attempt to recover the motion sequence given an initial alignment of the model with the first frame of the sequence. The main idea of the method is to find the forces that are responsible for the motion or shape deformation of the given object. The task is broken into subtasks of finding the forces for each frame. Both absolute values and directions of these forces are taken into consideration and iteratively varied not only for each frame, but also between the frames. Our work demonstrates the possibility of accurate nonrigid motion analysis and force recovery from range image sequences containing nonrigid objects and large motion without interframe point correspondences.
机译:当点对应数据不可用时,我们提出了一种用于精确的非刚性运动分析的新方法。我们通过集成范围数据和有关对象属性的先验知识来构建非线性有限元模型。在模型与序列的第一帧进行初始比对的情况下,我们尝试恢复运动序列。该方法的主要思想是找到导致给定对象运动或形状变形的力。该任务分为为每个框架找到力的子任务。这些力的绝对值和方向都被考虑,并且不仅对于每个框架而且还在框架之间迭代地变化。我们的工作证明了从包含非刚性物体的大范围图像序列中进行准确的非刚性运动分析和恢复力的可能性,并且无需帧间点对应即可进行大运动。

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