• A registration algorithm for airborne staring ir systems is proposed.

    提出了一种用于机载凝视红外图像序列的配准算法。

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  • Based on the characteristics and transform domain-based image registration algorithm.

    基于特征和基于变换域的图像配准算法。

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  • We select the RANSAC algorithm based on affine invariant as the coarse registration algorithm.

    选择基于仿射不变量的RANSAC配准算法,作为粗配准算法。

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  • In Chapter 3, we present a novel registration algorithm for 3d point cloud patches based on CSRBF.

    在第三章中,我们提出了一个三维点云数据片间基于紧支撑r BF的配准和融合算法。

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  • NEW Intensity-based 3D Rigid Registration plugin: implement the intensity-based 3D rigid registration algorithm;

    新增图像配准算法插件:基于灰度的3D刚性配准算法的实现;

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  • An maximum likelihood registration algorithm based on earth-centered earth-fixed (ECEF) coordinate system is presented.

    提出了一种基于地心坐标系(ECEF)的传感器极大似然配准算法。

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  • This study focuses on applying registration algorithm as the key technology in navigation image based on the above issues.

    本文以上述问题为依据,围绕应用于图像导航的配准算法为关键技术展开研究。

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  • The consistency registration algorithm, which used local cross correlation coefficient as the similarity metric, was proposed.

    提出一种利用局部互相关系数作为相似性测度的灰度一致性配准算法。

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  • Nowadays, the most popular registration algorithm is the ICP algorithm, which utilizes iterative method to approach the best result.

    目前,应用最普遍的数据配准算法是最近点迭代(ICP)算法,它采用迭代方式逐渐逼近最佳结果。

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  • For the better optimization of fusion results, the radar registration algorithm based on unbiased transformation was brought forward.

    为了使融合结果更加准确可靠,提出了基于无偏转换的雷达误差配准算法。

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  • To test the inner surface of the artillery pipe, a new algorithm of image registration algorithm based on phase-correlation is proposed.

    针对火炮身管内膛图像特点,提出一种特征点稀少的火炮身管内膛图像拼接算法。

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  • As compared with the hybrid tracking and the coplane four-point registration algorithms, the proposed algorithm is of higher registration accuracy.

    与混合跟踪注册算法、共面四点注册算法相比,文中方法具有更高的精度。

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  • In this thesis, we: Study a high-dynamic image registration algorithm (MTB algorithm) based on the rapid bit operation of computing binarization image.

    本论文中:研究了基于位操作运算的快速二值化的高动态图像配准算法(MTB算法)。

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  • To satisfy the need of blade geometry inspection and deviation analysis of aero-engine, a non-rigid registration algorithm based on deformation function is proposed.

    为满足航空发动机精铸涡轮叶片壁厚偏差分析需要,提出了一种基于变形函数的精铸涡轮叶片检测模型非刚体配准算法。

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  • The algorithm was constructed by integrating the elastic registration algorithm based on B-spline and the apriori knowledge of the deformation field into a MRF model.

    本研究提出了一种新的基于先验知识的弹性配准算法,首次把马尔可夫模型应用于图像的弹性配准方面。

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  • Conclusion This proposed three-dimension mapping registration algorithm well realizes the registration in three-dimension cardiac mapping and has practical application values.

    结论本文提出的三维标测配准算法能够实现心脏三维标测中的配准。

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  • The techniques of digital image mosaics from video sequence consist of image global fast registration algorithm, motion object segment algorithm, and seamless blending algorithm.

    基于视频序列的数字图像拼接技术主要包括全局快速配准算法、运动目标分割算法和无缝融合算法。

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  • A novel registration algorithm is presented for ct cerebrovascular medical image 3-d reconstruction based on the mutual location information of individual contours of the image set.

    在CT脑血管医学图像断层间三维重建图形配准中,提出了基于图像内部各个血管轮廓间相对位置信息的优化新算法。

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  • Aiming at the problem of point clouds registration without prior information on transformation, a novel registration algorithm is proposed based on geometric properties of point clouds.

    为了有效地解决不存在明确对应关系的点云配准问题,提出了一种基于点云几何特征的配准算法。

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  • Based on the idea that human observers could greatly simplify the matching problem at the level of object structure, a structure-driven SAR image automatic registration algorithm was proposed.

    基于人工通过地物结构推理匹配关系进行配准的想法,提出了一种基于结构的SAR图像自动配准算法。

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  • Therefore, it becomes an urgent need to look for a kind of registration algorithm which is adaptable, highly precise, fast to UAV in a complex battlefield environment for autonomous navigation.

    因此,寻找一种具有适应性强、精度高、配准速度快的算法成为无人机在复杂战场环境下自主导航的迫切需要。

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  • In order to solve this problem, a robotic visual servo system is analyzed, and an augmented reality registration algorithm based on natural feature with virtual visual servo technology is proposed.

    文中在深入研究机器人视觉伺服系统的基础上,提出了利用虚拟视觉伺服技术、基于自然特征的增强现实注册算法。

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  • The algorithm led to a better result of registration for the use of the apriori knowledge.

    这种新算法因为有变形场的先验知识,所以可以得到更好配准结果。

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  • In this image registration method, with the help of relaxation algorithm, matching precision is improved.

    在角点匹配过程中,采取了松弛算法来提高匹配精度,达到了好的配准效果。

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  • Based on the improved corner detection algorithm, an image automatic registration method combined corner detection and area-based matching was developed.

    在上述改进的角点检测算法基础上,本文提出了结合区域匹配的图像自动配准算法。

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  • In order to solve the problem of motion estimation for nonuniformity correction of infrared focal plane arrays, a new fast algorithm for image registration is presented.

    为了解决红外焦平面非均匀算法中出现的运动估值问题,提出了一种新的快速图像配准算法。

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  • In order to solve the problem of motion estimation for nonuniformity correction of infrared focal plane arrays, a new fast algorithm for image registration is presented.

    为了解决红外焦平面非均匀算法中出现的运动估值问题,提出了一种新的快速图像配准算法。

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