Development of fully three-dimensional wavefront matching method and its application to the design of ultrasmall Si mode converters

2017 ◽  
Author(s):  
Yusuke Sawada ◽  
Shuntaro Makino ◽  
Takeshi Fujisawa ◽  
Kunimasa Saitoh
Keyword(s):  
Three Dimensional ◽  
Matching Method ◽  
Mode Converters

scholarly journals Dynamic target template matching for railway catenary suspension motion detection in wind area

2018 ◽  
Vol 14 (9) ◽  
pp. 155014771879795 ◽  
Author(s):  
Wei Zhou ◽  
Heting Xiao ◽  
Zhonggang Wang ◽  
Lin Chen ◽  
Shaoqing Fu
Keyword(s):  
Template Matching ◽  
Three Dimensional ◽  
Moving Target ◽  
Maximum Relative Error ◽  
Gradual Change ◽  
Matching Method ◽  
Safety Research ◽  
Target Template ◽  
Target Templates ◽  
Dynamic Target

A dynamic target template matching method was proposed to identify railway catenary suspension movements of wind-induced vibration in wind area. Catenary positioning point was taken as the target template, which was compared with equal-sized image sequentially using the proposed matching difference. And, three-dimensional contour map of matching difference value at each sub-area was obtained, where the target pixel coordinates were determined by the minimum matching difference value. Considering the complex imaging condition, the target template was updated by the detected target image to sense the gradual change of illumination conditions like brightness and contrast. Furthermore, to eliminate detecting errors due to wind-induced camera vibration, both static and moving target templates were identified for acquiring the absolute motion of the moving target. Finally, validation test was performed with animation in PowerPoint. The calculated target displacement agrees well with theoretical motion with maximum relative error of 1.8%. And experiment application was conducted at site by analyzing the relationship between detecting displacement and wind speed. Results indicate that the proposed dynamic target template matching method can meet required engineering precision and provide an effective way for wind-vibration safety research of railway catenary system in wind area.

The three-dimensional kinematics analysis of the shoulder joint using the image matching method with image correlation

2016 ◽  
Vol 2016 (0) ◽  
pp. S0220204
Author(s):  
健 下戸 ◽  
Takeshi SHIMOTO ◽  
Yoshitaka SHIRAISHI ◽  
Yifeng WANG ◽  
Satoru IKEBE ◽  
...  
Keyword(s):  
Shoulder Joint ◽  
Image Matching ◽  
Three Dimensional ◽  
Image Correlation ◽  
Kinematics Analysis ◽  
Matching Method

A Multi-Gradation Stereo Matching Method Based on Edge Feature Points

2013 ◽  
Vol 748 ◽  
pp. 624-628
Author(s):  
Zhu Lin Li
Keyword(s):  
Object Recognition ◽  
Stereo Matching ◽  
Three Dimensional ◽  
Feature Points ◽  
Image Pair ◽  
Three Dimensional Reconstruction ◽  
Matching Method ◽  
Matching Algorithm ◽  
Dimensional Reconstruction ◽  
Edge Feature

A gradation stereo matching algorithm based on edge feature points was proposed. Its basic idea is: firstly edge feature points of image pair were extracted; then, gradient invariability and singular eigenvalue invariability were analyzed, two-grade stereo matching method was build, foundation matrix was solved further, and three-grade stereo matching algorithm was finished by foundation matrix guidance. The result indicates that the algorithm can improve matching precision, from 58.3% to 73.2%, it is simple and utility, and it is important for object recognition, tracking, and three-dimensional reconstruction.

Research on image matching method of big data image of three-dimensional reconstruction

2015 ◽  
Author(s):  
Chunsen Zhang ◽  
Zhenguo Qiu ◽  
Shihuan Zhu ◽  
Xiqi Wang ◽  
Xiaolei Xu ◽  
...  
Keyword(s):  
Big Data ◽  
Image Matching ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Matching Method ◽  
Dimensional Reconstruction

scholarly journals LUNAR TERRAIN RECONSTRUCTION FROM MULTI-VIEW LROC NAC IMAGES BASED ON SEMI-GLOBAL MATCHING IN OBJECT SPACE

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1177-1183
Author(s):  
L. Ye ◽  
M. Peng ◽  
K. Di ◽  
B. Liu ◽  
Y. Wang
Keyword(s):  
Three Dimensional ◽  
Cost Calculation ◽  
Stereo Pair ◽  
Matching Method ◽  
Global Method ◽  
Object Space ◽  
Three Dimensional Mapping ◽  
Object Based ◽  
Global Matching ◽  
Traditional Image

Abstract. Most of the lunar surface area has been observed from different viewing conditions thanks to the on-orbit work of lunar orbiters, a large amount of images are available for photogrammetric three-dimensional mapping, which is an important issue for lunar exploration. Theoretically, multi-view images contain more information than a single stereo pair and can get better 3D mapping results. In this paper, the semi-global matching method is applied to the object space, and the steps of cost calculation, cost aggregation, and elevation calculation are performed to obtain the three-dimensional coordinates directly. Compared with the traditional image-based semi-global matching method, the object-based semi-global method is more easily extended to multi-view images, which is beneficial for applying multi-view image information. In addition, it does not require steps such as stereo rectification and forward intersection, that is, the overall pipeline is more elegant. Using the LRO NAC images covering Apollo 11 landing area as the experimental data, the result shows that the object-based semi-global matching is competent for the multi-view image matching and the multi-view image result achieves higher accuracy and more details than the single stereo pair. Furthermore, the experimental results of Zhinyu crater data show that this method can also alleviate the uncertainty of the lunar orbiter's positioning to some extent.

scholarly journals Exploiting High Geopositioning Accuracy of SAR Data to Obtain Accurate Geometric Orientation of Optical Satellite Images

2021 ◽  
Vol 13 (17) ◽  
pp. 3535
Author(s):  
Zhongli Fan ◽  
Li Zhang ◽  
Yuxuan Liu ◽  
Qingdong Wang ◽  
Sisi Zlatanova
Keyword(s):  
Satellite Imagery ◽  
Image Matching ◽  
Satellite Images ◽  
Three Dimensional ◽  
Phase Correlation ◽  
Feature Descriptor ◽  
Matching Method ◽  
Reference Images ◽  
Sar Data ◽  
Optical Satellite Images

Accurate geopositioning of optical satellite imagery is a fundamental step for many photogrammetric applications. Considering the imaging principle and data processing manner, SAR satellites can achieve high geopositioning accuracy. Therefore, SAR data can be a reliable source for providing control information in the orientation of optical satellite images. This paper proposes a practical solution for an accurate orientation of optical satellite images using SAR reference images to take advantage of the merits of SAR data. Firstly, we propose an accurate and robust multimodal image matching method to match the SAR and optical satellite images. This approach includes the development of a new structural-based multimodal applicable feature descriptor that employs angle-weighted oriented gradients (AWOGs) and the utilization of a three-dimensional phase correlation similarity measure. Secondly, we put forward a general optical satellite imagery orientation framework based on multiple SAR reference images, which uses the matches of the SAR and optical satellite images as virtual control points. A large number of experiments not only demonstrate the superiority of the proposed matching method compared to the state-of-the-art methods but also prove the effectiveness of the proposed orientation framework. In particular, the matching performance is improved by about 17% compared with the latest multimodal image matching method, namely, CFOG, and the geopositioning accuracy of optical satellite images is improved, from more than 200 to around 8 m.

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