Cramer-Rao bound on projective image registration from feature points

Lingg A.; Rigling B.

首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Cramer-Rao bound on projective image registration from feature points

【24h】

Cramer-Rao bound on projective image registration from feature points

机译：Cramer-Rao约束从特征点进行投影图像配准

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

We derive Cramer-Rao lower bounds (CRLBs) on the estimation of projective image registration parameters from control points. We also bound the variance of the estimated position of a transformed pixel, and we extend this bound to an estimate of the second-order statistics of the pixel intensities. The variance of the pixel intensities varies spatially, and large variances occur at locations for which we have low confidence in the accuracy of the registered pixel intensities. Such information may be used in exploitation tasks to improve decision accuracy or for decision confidence reporting.

机译：我们从控制点的投影图像配准参数的估计中得出Cramer-Rao下界（CRLB）。我们还限制了变换后的像素的估计位置的方差，并将此范围扩展到像素强度的二阶统计量的估计。像素强度的方差在空间上会发生变化，并且在对注册像素强度的精度信心不足的位置会出现较大的方差。此类信息可用于开发任务中，以提高决策准确性或决策信心报告。

著录项

来源
《Aerospace and Electronic Systems, IEEE Transactions on》 |2014年第3期|1929-1937|共9页
作者
Lingg A.; Rigling B.;
展开▼
作者单位

Etegent Technologies, Research and Development, 3000 Presidential Dr, Suite 340, Fairborn, OH 45324;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
Accuracy; Covariance matrices; Estimation; Feature extraction; Image registration; Noise; Uncertainty;

机译：精度;协方差矩阵;估计;特征提取;图像配准;噪声;不确定度;

相似文献

外文文献
中文文献
专利

1. Cramer-Rao lower bound calculations for image registration using simulated phenomenology [J] . Tyler David W., Dank Jeffrey A. Journal of the Optical Society of America, A. Optics, image science, and vision . 2015,第8期

机译：使用模拟现象学对图像配准的Cramer-Rao下界计算
2. AUTOMATED 3D-2D PROJECTIVE REGISTRATION OF HUMAN FACIAL IMAGES USING EDGE FEATURES [J] . ALI MD. HAIDER, TOYOHISA KANEKO International Journal of Pattern Recognition and Artificial Intelligence . 2001,第8期

机译：利用边缘特征对人脸图像进行自动3D-2D射影配准
3. Cramer-Rao lower bound of basis image noise in multiple-energy x-ray imaging. [J] . Roessl E, Herrmann C Physics in medicine and biology. . 2009,第5期

机译：多能X射线成像中Cramer-Rao基础图像噪声的下限。
4. Cramer-Rao Lower Bound Calculations for Registration of Linearly-Filtered Images [C] . David W. Tyler IEEE Applied Imagery and Pattern Recognition Workshop . 2008

机译：Cramer-Rao下限计算用于注册线性滤波图像的注册
5. Millipixel scale landmark location in images: The optics, the imaging system, and the Cramer-Rao bound on performance. [D] . Gutierrez, Jose Alejandro. 2005

机译：图像中的百万像素刻度界标位置：光学性能，成像系统和性能的Cramer-Rao。
6. Validation of Retinal Image Registration Algorithms by a Projective Imaging Distortion Model [O] . Sangyeol Lee, Michael D. Abràmoff, Joseph M. Reinhardt -1

机译：投影成像畸变模型对视网膜图像配准算法的验证
7. A non-feature based method for automatic image registration relying on depth-dependent planar projective transformations [O] . Salinas Maldonado Carlota 2015

机译：一种基于非特征的依赖于深度的平面投影变换的自动图像配准方法
8. Evaluation of SIR-A (Shuttle Imaging Radar) Images from the Tres Marias Region (Minas Gerais State, Brazil) Using Derived Spatial Features and Registration with MSS-LANDSAT Images [R] . Parada, N. D. J., Kux, H. J. H., Dutra, L. V. 1984

机译：评估来自Tres marias地区（巴西米纳斯吉拉斯州）的sIR-a（穿梭成像雷达）图像，使用派生的空间特征和mss-LaNDsaT图像登记

Cramer-Rao bound on projective image registration from feature points

摘要

著录项

相似文献

相关主题

期刊订阅