• Image based facial feature points extraction.

    基于照片的人脸特征点提取。

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  • Precise facial feature points extraction is the key to solve these problems.

    特征点精确定位是解决这些问题的关键。

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  • Study of feature points detecting technique for trajectory measurement system.

    轨迹测量系统中特征点检测技术研究。

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  • The detection and extraction of feature points are the basis technology in image registration.

    二维特征点的检测和提取是进行图像配准的关键技术。

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  • Trajectories of feature points on image plane were predicted by image-based visual servo method.

    用基于图象的视觉伺服方法来预测特征点在图象平面的运动轨迹。

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  • On the research of human cranium and head muscle, the definition of the facial feature points is given.

    在研究了人脸的颅骨、肌肉组织特点的基础上,给出了人脸特征点的定义及选取规则。

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  • Optical feature points network is constructed, through the regulation of several infrared LED drive module.

    通过调控多个红外LED驱动模块,构建了光学特征点网;

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  • The occlusion problem can be solved by the position prediction in the process of the tracking of feature points.

    特征点的遮挡问题可以通过特征点跟踪过程中对特征点位置的预测得到解决。

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  • 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。

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  • Designing digital filter and demarcating the feature points of ECG wave with the traditional ECG analysis algorithm.

    设计数字滤波器并利用传统的心电分析算法来标定心电波形的特征点。

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  • 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。

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  • 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。

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  • This paper mainly researches the application that one USES the trifocal tensor to get feature points and feature lines.

    本文重点研究了三视张量在图像点特征及线特征获取中的应用。

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  • Use a method of time series piecewise linear representation based on feature points as a way for pattern representation.

    使用一种基于特征点的时间序列线性分段方法作为时间序列的模式表示。

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  • 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。

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  • The position of the feature points in camera coordinate system was obtained based on basic principle of binocular stereoscopic vision.

    基于双目立体视觉基本原理,得到特征点在摄像机坐标系下的位置。

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  • The method that interactively extract feature points based on curvature difference break is proposed to complete extracting feature points.

    提出了利用圆率线及圆率差分突变来交互拾取曲线特征点的方法,实现了特征点的识别和提取。

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  • The terrain feature points which widely range on earth surface structure the terrain, skeleton, and have definite control action of landform.

    广泛分布在地球表面的地形特征点构成了地形骨架,对地形地貌具有一定的控制作用。

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  • 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。

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  • We segment the face image into several "Windows" according to the prOportion relationship of organs and detect the feature points in each window.

    根据人的面部器官所遵循的比例关系,将人脸划分为若干个窗口,在窗口内对面部特征点进行检测。

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  • An approach to extract feature points on the boundary based on length of arc is proposed in view of the key problem of measuring composite-shape parts.

    针对组合形状零件几何尺寸测量中的关键问题—轮廓识别,提出了一种基于弧长的轮廓特征点提取的方法。

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  • This study takes the surface peak as a breakthrough, in order to analysis the distributing of the terrain feature points in different topographic forms.

    本研究主要以山顶点为切入点,分析地形特征点在不同地貌形态中的分布规律。

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  • The paper poses a measure method of relative position and attitude between spacecrafts based on monocular computer vision and feature points on the target.

    提出了一种基于目标特征的航天器间相对位置和相对姿态单目视觉测量方法。

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  • The continuous pulse waves are obtained in time domain by calculating the space displacements of the feature points on movement image with single CCD camera.

    在单个CCD摄像头固定的情况下,建立投影几何模型,计算所获取的动态图像上特征点的空间位移,得到时域上连续的脉搏信号。

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  • The main contents include extraction of feature points, generation of pyramid image structure and similarity extent computation based on a pyramid image structure.

    方法内容包括特征点提取、构造影像金字塔以及基于金字塔数据结构的互相关匹配。

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  • First, feature points and edges of the candidate planes of the objects in the intensity and range images are acquired by analysing the intensity and range variation.

    首先,通过分析灰度图像中的灰度变化及测距图像中的测距值变化,分别求取各自图像中物体的特征点及特征边;

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  • During contour evolution, the particle filter (PF) is used to track the feature points by enforcing spatiotemporal local constraints to handle the observation noise.

    为避免观测噪声的影响,增加轮廓的时空局部约束并利用粒子滤波(PF)技术解决该类跟踪问题是非常有效的。

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  • The relationship between the detection of feature points and the measurement of motion parameters is studied in this instance of ignoring the camera calibrate errors.

    在不考虑摄像机内外参数标定误差的情况下,研究了标志点像元的测量精度对运动参数测量的影响。

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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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  • 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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