从自然图像序列中生成和跟踪网格对象的一种从粗到精的方法

Jui-Tai Ko, Sheng-Jyh Wang
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引用次数: 0

摘要

提出了一种从真实图像中自动生成分层网格的新方案。首先,根据三层图像金字塔生成三个不同的网格;通过消除这三个网格之间的重复网格节点,形成一个分层网格。由于每个层次代表不同分辨率的图像,这种层次结构可以实现渐进式编码。此外,为了生成图像序列的动态网格,这种分层结构可以通过跟踪序列中的网格节点来降低计算复杂度。提出了一种预测网格节点运动方向的方法,便于运动估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A coarse-to-fine approach for the generation and tracking of mesh objects from a natural image sequence
A new scheme, which automatically generates a hierarchical mesh from a real image, is proposed. First, three distinct meshes are generated according to a three-layer image pyramid. By eliminating the duplicated mesh nodes between these three meshes, a hierarchical mesh is formed. Because each hierarchy represents the image in different resolutions, this hierarchical structure can achieve progressive coding. Furthermore, to generate a dynamic mesh for an image sequence, this hierarchical structure can help to reduce the computation complexity through the tracking of mesh nodes in the sequence. A method is also proposed to predict the moving direction of mesh nodes and to facilitate the motion estimation.
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