... 射影不变量 projective invariant 射影不变式 projective invariant 射影不变性 projective invariance ...
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Projective Invariant Recognition 射影不变性识别
We present a new projective invariant-based technique for recovering =epth information from stereo images.
本文提出了利用射影不变量来求解基于图像对三维深度恢复问题。
参考来源 - 基于射影不变量的三维重构The algorithm extracts feature points by using the geometric shapes of characters, and then calculates the projective invariant of each character by coordinates of each point as the recognition feature, and it can recognize characters accurately.
它利用车牌字符的几何形状,从字符轮廓图中提取出特征点,再由各点坐标计算出每个字符图像的射影不变量作为识别特征,然后通过将待识别字符的特征不变量与模板字符的特征不变量进行匹配,可实现字符的准确识别。
参考来源 - 基于射影不变量的车牌字符识别·2,447,543篇论文数据，部分数据来源于NoteExpress
The experimental results show that the proposed structure has projective invariant which does not change with the variation of the viewpoints.
实验验证了文中提出的几何约束结构具有不随物体成像视点改变的射影不变量。
The invariant tensor under projective transformations of semi- symmetric metric- recurrentconnectionsisobtained.
给出了半对称度量循环联络在射影变换下的不变张量。
The algorithm can adapt to object recognition, invariant not only under rotation? Scaling? Translation, but under affine and projective transformation.
算法不仅能适应目标物体在旋转、缩放、平移变换下的不变性识别。而且能适应仿射及射影变换下的不变性识别。
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