Image registration based feature points matching is a key technology of image processing technology.
图像配准是图像处理技术中的关键技术之一。
When finishing the feature points matching, the thesis use RANSAC method to calculate the transformation matrix.
图像匹配完成后，本文使用RANSAC算法来估算变换矩阵，通过剔除外点，估算出最佳特征矩阵。
By information of magnitude and position of entries in the matching matrix, we realize the feature points matching.
根据匹配矩阵元素的大小和位置信息，实现特征点匹配。
The improvement on feature points extraction and feature points matching are the key points of the improved algorithm.
本文改进算法的最关键在于对特征点提取算法和特征匹配算法上的改进。
Transforming the feature points matching problem into the optimization problem, the network can complete the function of the object recognition.
通过将特征点匹配问题转化为优化问题，该网络可以实现对目标识别问题的求解。
Theoretical analysis and experimental results show that the improved algorithm has rigorous consequence and better accuracy and stability which is a perfect feature points matching algorithm.
理论分析和实验结果表明本算法推理严密，在精确性和稳定性都有显著的改善，是一种理想的特征点匹配算法。
Since the corresponding pair of feature points was difficult to be extracted in feature points registration methods, an image mosaic method based on interest point matching was presented.
针对基于图像特征点的配准方法中对应特征对难以准确提取的问题，提出一种基于兴趣点匹配的图像自动拼接方法。
In this paper, binocular stereo vision for the detection of the CCD camera calibration, feature point extraction and matching feature points have been studied in detail.
本文主要对双目立体视觉检测技术的CCD相机标定、特征点提取和特征点匹配等内容做了详尽地研究。
During stereo matching, the feature points whose correlation coefficients are within certain range less than the maximal coefficient can be taken as an original matching feature point set.
在立体匹配时，将灰度相关系数小于最大灰度相关系数一定范围内的特征点作为灰度相关复峰初始匹配特征点集合。
The known error bound of location deviation is used to determine the minimum matching merit for two point pairs so that the effect of spurious feature points can be reduced.
基本思想是利用已知的最大定位误差，确定两点对的最小匹配度量，从而减小虚假特征点对匹配结果的影响。
Then, normalized cross-correlation matching and probability support matching method are used to match the images feature points.
然后利用归一化互相关匹配法和概率支撑法对特征点进行匹配。
However, due to the image noise, feature extraction algorithm, as well as local similarity of non-stereo matching points, there must be some false matching between the images.
然而，由于图像噪声、特征点提取算法以及非匹配点的局部相似性和遮挡的影响，相关匹配中必然存在较多的误匹配。
Then use these feature points for binocular matching thus getting distance information of the scene by the calculation of differences between match points in two images.
首先根据尺度不变特征变换方法从图像中提取关键点作为特征点，然后进行左右双目图像的特征点匹配和视差的恢复。
The algorithm detects the shot boundary by analyzing the nature that the matching number of SURF feature points of frames change over time.
算法通过分析帧间的SURF特征点匹配数目随时间变化的性质来检测镜头边界。
In order to provide the feature points stereo matching between two wide baseline images, a novel algorithm based on affine invariant feature of the feature points is proposed.
为了实现长基线图像特征点的立体匹配，提出了一种新的基于特征点仿射变换不变性的匹配算法。
Emphases resid in the problems of choosing an efficient color space, deciding threshold and matching feature points.
重点研究了颜色空间的选取、目标识别中确定阀值的策略及特征点的选取方法。
Finally the 3d information of obstacle was restored by stereo matching on feature points.
最后通过对特征点的立体匹配恢复障碍物的三维信息。
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。
Thus the complexity of correspondence points matching is decreased and the matching mistake is reduced using the area-based matching method coupled with feature-based method.
这种特征匹配与区域匹配相结合的方法，解决了同名点准确匹配难、计算量大等问题。
The result which has the maximum reliability was obtained through the matching between the regions which contain the feature points based on cross correlation theory.
通过局部特征点所在区域的相关匹配，获得具有最大可信度的匹配结果。
And Scale Invariant Feature Transform (SIFT) was employed to exclude those sub-regions with smaller matching key points.
然后利用尺度不变特征变换(SIFT)剔除那些匹配的关键点数目少的子区域。
Enhancement of tire prints image is the most critical preprocessing stage before feature extraction and points matching.
轮胎印痕图像增强是进行车辆胎痕图像特征点提取及匹配最为关键的预处理阶段。
A new feature-point-based stereo matching algorithm is proposed in this paper, in order to match feature points more efficiently and accurately.
为了快速并更精确的对特征点进行立体匹配，本文提出了一种新的基于特征点的立体匹配算法。
A two-step matching method for 3d face recognition is proposed. Feature points are detected based on curvature and geometric constraint.
针对3维人脸识别问题，提出一种由粗到细的两步识别方法。
The key technologies of image Mosaic and image fusion are focused on. During the stage in the image Mosaic, the image matching algorithm based on the feature points has been implemented.
本文按流程详细介绍了全景图生成过程中的各项技术，重点研究了图像拼接技术中的图像拼接及图像融合等关键技术。
The Technology of Feature Points Extraction and Matching of Photogrammetry in Traffic Accident Scene;
指纹特征匹配包括指纹特征提取，特征编码以及特征匹配等。
The Technology of Feature Points Extraction and Matching of Photogrammetry in Traffic Accident Scene;
指纹特征匹配包括指纹特征提取，特征编码以及特征匹配等。
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