• It extracts and tracks feature point sets in the environment with single camera, and then calculates position and pose of the robot with measurement model and extended Kalman filtering.

    利用单目摄像头提取和跟踪环境特征点集,进而根据观测模型利用扩展卡尔曼滤波算法估算出机器人的位姿。

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  • 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;

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  • L-K optical flow algorithm is not very suitable in facial feature point tracking.

    原始l -K光流算法用于面部特征点跟踪时,易出现跟踪不稳定的情况。

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  • Edge constrain strategy is used to reduce the search region of each feature point.

    加入了边缘约束策略,减小了特征点目标搜索的区域。

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  • Secondly, this paper presents an algorithm for feature point detection and matching.

    其次,对特征点检测与匹配算法进行研究。

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  • Random block feature point selection is developed to avoid feature point close clustering.

    为了避免特征点选取相对集中,给出一种随机分块选取特征点对的方法。

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  • An approach to contour extraction and feature point detection in the 3-d fragment reassembly is proposed.

    针对三维空间碎片的拼接,提出一种轮廓提取和特征点检测的方法。

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  • It can obtain the feature point information of measured object directly and improve the measuring efficiency.

    通过液晶光栅编码可以直接获得被测物体形貌特征点信息,提高了测量速度和效率。

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  • This method can find the exact initial position and achieve better result of facial feature point localization.

    由于能够快速获得较准确的初始位置,进而取得较好的人脸特征标定结果。

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  • Print Chinese character feature point is one of the important features for print Chinese character classification.

    印刷体汉字特征点是印刷体汉字分类的重要特征之一。

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  • The feature point, by which there are two or more lines passed, would be regarded as corner (or candidate corner).

    若存在二条(或二条以上)直线经过某点,则该点就被认为是角点(角点候选点)。

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  • Experiment results show that this method can find the correct feature point pairs under transformation and local distortion.

    实验结果表明,该方法可以在变换与局部变形存在的情况下,正确判定两幅指纹之间对应的特征点。

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  • Thirdly, the feature point set is filtered by the rule and two-step curve fitting method is used to obtain the dental arch form.

    然后基于规则筛选出关键特征点集,通过两步最小二乘法拟合牙弓线。

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  • Then, by using the camera calibration parameters, 3D coordinates of each feature point in the machine coordinate system were calculated.

    由摄像机标定参数,进一步计算出各特征点在机器坐标系中的三维坐标;

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  • The reverse of lumen part is different from outline, such as collect data method, treat with point, pick up feature point and curve fitting.

    曲面内腔类零件的反求有别于轮廓外形的反求,主要体现在数据采集的方法,点云的处理,特征点的提取以及曲线的拟合。

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  • Facial feature point location is one of the fundamental and crucial problems in the field of facial recognition, computer vision and graphics.

    人脸面部的关键特征点定位既是人脸识别研究领域中的一个关键问题,也是计算机视觉和图形学领域的一个基本问题。

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  • 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。

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  • Aiming at these problems, a new decision algorithm for image matching decision is proposed which USES the truncation of the feature point sequence.

    针对上述问题,提出一种新的图像匹配判决算法——利用特征点序列截断的匹配判决。

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  • 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。

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  • We have studied a new algorithm of feature point correspondence based on artificial landmark, solved the problem of feature point match between images.

    论文研究了一种基于人工特征图标的图像间特征点自动匹配新算法,较好地解决了对应点匹配问题。

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  • By analyzing the measurement error of this system, it is known that the precision of detecting feature point is a decisive factor affecting the measurement.

    通过对系统数学模型的误差分析,确定标志点的检测精度是影响测量误差的主要因素。

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  • In the foundation of traditional feature point extraction algorithm we add macro feature point detection, this can optimize the extraction of feature points.

    在传统的特征点提取算法基础上加入了特征点的宏观检测,优化了特征点的提取效果。

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  • To resolve those problems mentioned above, in this paper the authors propose a global matching method based on combination of feature point and feature edge.

    为更好地解决上述问题,本文提出了基于特征点匹配与边缘线匹配相结合的方法。

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  • Terrain data is organized by grid, the article adopts height weighted average algorithm of elevation based on grid network, to extract feature point of TIN terrain.

    采用网格索引来组织地形数据,利用反距离高程加权平均值算法,提取TIN地形的特征点。

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  • 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。

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  • At the same time the feature point coordinates on the planar target were achieved with cross ratio invariability theory, then structured light parameters was calibrated.

    同时利用交比不变性原理获取平面靶标上的特征点坐标,完成了结构光平面参数的标定。

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  • Finally, space parameter measurement method based on feature point selection was designed to accurately measure the distance, Angle and volume of cutting motor structure.

    最后,设计出基于特征点拾取的空间参数测量方法,实现剖切后发动机结构空间距离、角度和体积的精确测量。

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  • A simplified algorithm based on SIFT (SSIFT) is developed to express a feature point with only 12 dimensions based on a circular window to improve the efficiency of matching.

    为了提高匹配速度,介绍了一种基于SIFT的简化算法(SSIFT),采用基于圆形窗口的12维向量有效地表示一个特征点。

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  • The current position and velocity of the feature point on the image plane are predicted by Kalman filter algorithm, and then the accurate image Jacobian matrix is calculated.

    该方法利用卡尔曼滤波估计特征点在图像空间中当前时刻的位置和速度,进而计算当前时刻较为准确的图像雅可比矩阵估计值。

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  • The current position and velocity of the feature point on the image plane are predicted by Kalman filter algorithm, and then the accurate image Jacobian matrix is calculated.

    该方法利用卡尔曼滤波估计特征点在图像空间中当前时刻的位置和速度,进而计算当前时刻较为准确的图像雅可比矩阵估计值。

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