In this paper, a new method of deformable image matching based on hybrid elastic models is proposed.
为此提出了一种利用混合弹性模型来解决图象变形匹配问题的新方法。
Deformable models provide a unified account of a number of visual problems, including contour extraction, motion tracking as well as 3d reconstruction and stereo matching.
可变形模型对于范围广范的一系列视觉问题给出了统一的解决方法，并在轮廓提取、运动跟踪、3d重建、立体匹配等方面得到了广泛应用。
A new deformable template matching method is proposed.
提出了一个新的变形模板匹配方法。
A novel method of content based image segmentation using deformable template matching is proposed.
本文提出一种采用可变形模板匹配技术进行基于内容的图像分割算法。
On the basis of deformable template matching, a new approach based on the deformable template is presented.
分析现有模板匹配算法存在问题的基础上，提出一种基于可变形模板的声图像识别新方法。
In this paper, a new method of deformable image matching based on hybrid elastic models (HEM) is proposed.
为此提出了一种利用混合弹性模型(HEM)来解决图象变形匹配问题的新方法。
In this paper, a new method of deformable image matching based on hybrid elastic models (HEM) is proposed.
为此提出了一种利用混合弹性模型(HEM)来解决图象变形匹配问题的新方法。
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