投影轨迹 meaning in Chinese
projected footprint
Examples
- Through analyses of epipolarity geometry of the linear ccd push - broom images and frame perspective images , based on the projection track method , epipolarity of linear ccd push - broom image is established and the properties of epipolarity curves is discussed , and a new epipolarity model based on the simplified push - broom sensor model is proposed . for stereo images of frame perspective and linear perspective , how to set up of epipolarity is studied in terms of fundamental matrix in computer vision , and an algorithm of epipolarity solution that only depends on coordinates relation of identical point is presented . 4
通过线阵ccd推扫式影像和框幅式中心投影影像核线理论的对比研究，利用投影轨迹法建立了线阵ccd推扫式影像的核线模型，分析和总结了它的基本特性；针对基于共线方程的简化传感器模型，提出了一种新的核线模型；对框幅式中心投影立体影像和线阵ccd推扫式立体影像，利用计算机视觉中的基本矩阵研究核线关系的建立，提出了一种单纯依靠同名点坐标关系的核线模型解法； 4 - Through a deep study over the epipolarity based on the projection track method , the author puts forward the approximate line constraint method of dynamic epipolarity , and sets up constraint conditions of epipolarity in linear ccd push - broom stereo image matching , and proposes an imaging constraint method on the basis of application analysis of epipolarity , and taking imaging characteristics into account . 5
通过深入研究基于投影轨迹法的核线模型，提出了动态核线的近似直线约束方法，建立了线阵ccd推扫式影像立体匹配的核线约束条件；在核线应用分析的基础上，结合影像立体成像的特点，提出了一种基于核线的成像约束方法。 - In training process , we use kernel - based fisher discrimination analysis ( kfda ) method to train the input sample vectors . the method has been used in face recognition and has been demonstrated better recognition capability than other methods ( pca , kpca , svm ) . we calculate the optimal subspace wopt and project the sample gait sequences to wopt , then get the tracks of the sequences , calculate the track centroid and calculate the exemplar projection centroid of the sequences in the same class , and the exemplar projection centroid represents the class template . to test the class of a gait sequence , we also project the test sequence to the eigenspace , and calculate the track centroid , then calculate the euclidean distance of the test sequence tracking centroid with the sample sequences ’ exemplar projection centroids . and the class which the test sequence belongs to is the one that the sample sequence which the euclidean distance is shortest belongs to
该方法在人脸识别的研究中已有采用并在同样测试条件下取得比其他识别方法更好的识别性能。采用kfda方法取得最优特征空间wopt ,把步态样本序列映射到wopt中,取得样本序列在特征空间中的轨迹,计算轨迹质心,把同类样本序列的轨迹质心进行平均求得该类的标本投影轨迹质心,作为该类的模板。在识别时,将测试序列也投影到特征空间中,取得序列轨迹质心,对测试序列轨迹质心与样本的标本投影轨迹质心计算它们的欧氏距离。