研究眼睛特征提取过程中可变形模板中能量函数优化方法。
Investigates energy function minimization process for eye feature extraction based on deformable template.
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。
A novel method of content based image segmentation using deformable template matching is proposed.
除了上述基于学习的字符识别方法外，我们还对可变形模板字符识别技术进行了研究。
In addition to the recognition method based on machine learning, we researched the character recognition method base on deformable templates too.
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。
On the basis of deformable template matching, a new approach based on the deformable template is presented.
提出一种基于原型的可变形模板进行图像分割的算法，从而可以将感兴趣的视频对象从静止的复杂背景中提取出来。
This paper proposes an image segmentation algorithm using deformable template to segment an interesting visual object from the stationary complex background.
提出一种基于原型的可变形模板进行图像分割的算法，从而可以将感兴趣的视频对象从静止的复杂背景中提取出来。
This paper proposes an image segmentation algorithm using deformable template to segment an interesting visual object from the stationary complex background.
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