搜索结果: 1-13 共查到“信息与通信工程 2D”相关记录13条 . 查询时间(0.06 秒)
COMBINED VISUAL EXPLORATION OF 2D GROUND RADAR AND 3D POINT CLOUD DATA FOR ROAD ENVIRONMENTS
Ground Penetrating Radar 3D Point Cloud Infrastructure Maintenance
2018/11/9
Ground-penetrating 2D radar scans are captured in road environments for examination of pavement condition and below-ground variations such as lowerings and developing pot-holes. 3D point clouds captur...
2D视频转3D视频是解决3D片源不足的主要手段,而单幅图像的深度估计是其中的关键步骤.提出基于加权SIFT流深度迁移和能量模型优化的单幅图像深度提取方法.首先利用图像的全局描述符从深度图数据库中检索出近邻图像;其次通过SIFT流建立输入图像和近邻图像之间像素级稠密对应关系;再次由SIFT流误差计算迁移权重,将近邻图像对应像素点的深度乘以权重后迁移到输入图像上;然后利用均值滤波对迁移后的近邻图像深度...
TRANSFORMING 2D CADASTRAL DATA INTO A DYNAMIC SMART 3D MODEL
3D Cadastre Hellenic Cadastre Project 3D RRRs Procedural Modeling 3D GIS Esri CityEngine
2014/4/21
3D property registration has become an imperative need in order to optimally reflect all complex cases of the multilayer reality of
property rights and restrictions, revealing their vertical compone...
一种互耦条件下多径信号的2D DOA估计方法
RARE 多径 互耦 DOA估计
2013/8/19
在均匀圆阵的阵列结构下，提出了一种互耦条件下相干多径信号的2D DOA估计方法，该方法基于RARE降秩理论，首先对多径相干源进行去相干处理，并对与俯仰角相关的互耦矩阵进行补偿，然后将圆阵导向矢量转换成新的波束空间阵列流型，同时将俯仰角与方位角变量构造到两个独立的函数中去，实现在互耦未知的情况下用求根的方法估计出方位角，再根据俯仰角向量函数与噪声零空间的关系通过1D参数搜索得到俯仰角的估计，最后再与...
2D雷达组网几何定位融合算法
2D雷达组网 几何交叉定位 数据融合估计 几何精度因子
2013/8/13
研究了两部2D雷达组网中的目标定位估计和定位精度问题。为考虑地球曲率对目标定位精度的影响,提出了两雷达站组网中基于实际地球椭球模型的几何交叉定位与数据融合相结合的方法,建立了两部雷达观测定位几何模型,推导了定位方程和精度估计公式并进行了误差分析。仿真分析表明,在选择更为实际的观测模型的前提下,利用几何定位与数据融合方法不但改善了两雷达的定位性能,而且根据定位几何精度因子(geometrical d...
CDMA系统中2D-RAKE接收机性能比较
码分多址 RAKE接收 空时处理
2009/5/13
该文探讨了CDMA系统中2D-RAKE接收机的各种可能形式,并对其性能进行了分析比较,最后给出了数值模拟结果。
基于2D实值离散Gabor变换的SAR原始数据压缩
原始数据压缩 二维实值离散Gabor变换 比特分配
2009/5/5
该文采用时频分析的方法，结合合成孔径雷达(SAR)原始数据的线性调频特性，提出了一种基于2D实值离散Gabor变换的SAR原始数据压缩方法。该方法对I,Q两路原始数据进行分块，先对每一块进行二维实值离散Gabor变换(2D-RDGT)，在时频平面内对各频率平面根据方差进行比特分配，然后采用BAQ量化各频率平面。用同一块数据进行压缩解压缩成像实验并与已有的方法进行比较，实验结果表明该文提出的方法在数...
基于二次虚拟内插的圆阵接收2D-DOA分离估计
信号处理 虚拟内插 圆阵接收
2009/4/30
该文将二次虚拟内插技术引入圆阵接收的2D-DOA分离估计中，通过两次虚拟内插获取两虚拟内插阵列之间的移不变因子，利用该移不变因子首先获得俯仰角的估计，再将估计到的俯仰角代入圆阵流型中，经一维搜索即可获得方位角的估计。该方法有效地减小了因虚拟阵列和真实阵列之间的内插误差所带来的估计误差，仿真实验验证了该方法的有效性。
Recovering 3D Facial Shape via Coupled 2D/3D Space Learning
Recovering 3D Facial Shape 2D/3D Space Learning
2010/12/17
This paper presents a method for recovering 3D facial shape from single image via learning the relationship between the 2D intensity images and the 3D facial shapes.With a coupled training set, the in...
Object Tracking Using Incremental 2D-LDA Learning and Bayes Inference
Object Tracking Incremental 2D-LDA Bayes Inference
2010/12/17
The appearances of the tracked object and its surrounding background usually change during tracking. As for tracking methods using subspace analysis, fixed subspace basis tends
to cause tracking fail...
2D to 3D Convertion Based on Edge Defocus and Segmentation
2D to 3D Convertion Edge Defocus Segmentation
2010/12/20
This paper presents a depth estimation method which converts two-dimensional images into three-dimensional data. Based on two-dimensional wavelet analysis of Lipschitz regularity for defocus estimatio...
In this paper, 2D cascaded AdaBoost, a novel classifier designing framework, is presented and
applied to eye localization. By the term “2D”, we mean that in our method there are two cascade classifi...
It is well observed that usually the run-length of successive zero coefficients becomes longer and the magnitude of non-zero coefficients gets smaller while the DCT subband frequency increases. So the...