The local motion vector of the block was determined by feature point matching.
通过特征点匹配，求其局部运动矢量；
In essence it takes the decision profile and decision template as target's feature vector and template respectively, and adopts template matching method to target recognition.
该方法实质上是将目标的决策分布图作为特征矢量，将其和每类目标的决策模板进行匹配以实现融合识别。
By using calibrated image, it can measure plane absolute displacement of worktable automatically via feature point extraction and gray vector matching.
该方法采用事先通过标定的图像，对自然标志(特征点)的提取和基于灰度向量匹配来完成绝对位移的测量。
A block matching algorithm using block feature vector is proposed.
本文提出了一种利用象素块特征矢量的块匹配算法。
The feature vector in the algorithm is RST invariant, which makes the feature matching operate directly on the image having geometry switch.
提出一种快速、有效的图家匹配算法，算法中采用的特征矢量具有RST不变性，可以对发生仿射变换的图象直接进行特征匹配。
The distance function is used for similarity measure of image feature vector and realizes the matching of feature vector.
用距离函数对图像的特征向量进行相似性度量，从而实现SIFT特征向量的匹配。
Motion corner points are chosen to form a feature vector, and the image intensity is used as a feature matching function to measure inter-frame movement of the vehicle.
该方法取运动角点为特征量，通过选择灰度相关函数为特征匹配函数，实现了车辆在一定帧差内移动距离的测量。
So we used the most novel matching method-feature vector method to propose two fast algorithms: one is relative gradient-based algorithm, the other is cross trace-based algorithm.
本文参考了分形编码中现在最新颖的匹配算法-特征向量法，提出了基于相对梯度的快速编码和基于叉迹特征的快速编码算法。
So we used the most novel matching method-feature vector method to propose two fast algorithms: one is relative gradient-based algorithm, the other is cross trace-based algorithm.
本文参考了分形编码中现在最新颖的匹配算法-特征向量法，提出了基于相对梯度的快速编码和基于叉迹特征的快速编码算法。
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