• 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 success of these feature points 'extraction is prerequisite for the camera calibration.

    这些特征点的成功提取是进行摄像机标定的前提。

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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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  • As SIFT features are invariant to rotation and scaling, we employ SIFT to extract feature points.

    由于SIFT特征对旋转和缩放具有不变性,该算法利用SIFT提取图像的特征点。

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  • Then, the candidate audio segments for embedding watermark are defined by using the feature points.

    然后以音频特征点为标识,确定用于水印嵌入的候选音频段;

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  • 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。

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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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  • According to the characteristics of facial motion, the facial feature points are divided into two subsets.

    针对人脸运动特点,将面部特征点分为具有复杂运动模式和简单运动模式的特征点集。

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  • Fingerprint identification procedures, including binarization, thinning, such as extraction of feature points.

    指纹识别的程序,包括二值化,细化,提取特征点等。

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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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  • 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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  • Results show the approach can establish correct correspondence of feature points and can solve the problem of occlusion.

    实验证明,该文方法能建立非刚体运动特征点的正确对应,并能解决特征点的遮挡问题。

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  • Then obtained the feature points such as endpoints and branch points of the skeleton, recorded their connecting relationship.

    然后找出骨架中端点、分支点等特征点并记录它们的连接关系;

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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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  • A new visual dead reckoning positioning method is presented for mobile robot, which is based on lines and single feature points.

    提出了一种基于直线和单特征点的视觉推算定位方法。

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  • Corners are important local features of an image, and are the feature points that can be fully describe the shape of the object.

    角点是图像的一种重要的局部特征,是能充分描述物体形状的特征点。

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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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  • This approach would help to extract the vital feature points on human face automatically and improve the accuracy of face recognition.

    眼角的自动定位能够给后续的人脸特征自动提取和识别算法研究奠定良好的基础,帮助提高人脸识别算法的识别率。

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  • Two elastic registration methods based on two sets of corresponding feature points for human eyeground and brain images are presented.

    使用薄板样条方法,利用两个对应标志点集对眼底、脑等多种医学图像进行弹性配准。

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  • Welding process will produce a strong arc, splash, dust interference, and this seriously affected the gain of the weld seam feature points.

    焊接过程中会产生强烈的弧光、飞溅和烟尘干扰等噪声,严重影响了焊缝特征点的获取。

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  • System mainly divided into three modules:AAM facial feature points positioning module, FAP conversion module, and MPEG-4 model animation module.

    系统主要可分为三大模块:AAM人脸特征点定位模块、FAP转换模块、MPEG-4模型动画实现模块。

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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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  • 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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