Research on the Application of ICP Algorithm in Spatial Registration of Computer-Aided Surgery

2013 ◽  
Vol 380-384 ◽  
pp. 4061-4066
Author(s):  
Yun Tao Wei
Keyword(s):  
Reliable Method ◽  
Surface Profile ◽  
Singular Value ◽  
Canny Operator ◽  
Iterative Search ◽  
Registration Algorithm ◽  
Spatial Registration ◽  
Key Points ◽  
Value Decomposition ◽  
Multiple Step

This paper discusses the surface profile method based on image registration, and illustrates the principle and key points of registration algorithm based on surface profile. Canny operator is adopted to extract the surface contour and method based on quaternion and the singular value decomposition is used for space registration of the corresponding points, as well as the closest iterative search (ICP). In order to improve the registration speed, we adopt multiple step iteration method, which has been proved to be a reliable method according to the experiment.

Registration Algorithm for Three-Dimensional Point Cloud Data

2015 ◽  
Vol 741 ◽  
pp. 237-240
Author(s):  
Li Lun Huang ◽  
Wen Guo Li ◽  
Qi Le Yang ◽  
Ying Chun Chen
Keyword(s):  
Point Cloud ◽  
Three Dimensional ◽  
Singular Value ◽  
3D Point Cloud ◽  
Point Cloud Data ◽  
Icp Algorithm ◽  
Cloud Data ◽  
Registration Algorithm ◽  
Mathematical Algorithms ◽  
Value Decomposition

The principle of registration of the 3D point cloud data and the current algorithms are compared, and ICP algorithm is chosen since its fast convergence speed, high precision, and simple objective function. On the basis of ICP algorithm, singular value decomposition and four-array method are analysed by programming program, and all the mathematical algorithms is transformed into programming language by Matlab software.

A Novel Watermarking Algorithm Based on SURF and SVD

2013 ◽  
Vol 303-306 ◽  
pp. 2117-2121 ◽  
Author(s):  
Wei Wang ◽  
Wen Hui Li ◽  
Cheng Xi Wang ◽  
Peng Wang
Keyword(s):  
Copyright Protection ◽  
Information Hiding ◽  
Singular Value ◽  
Geometric Distortion ◽  
Geometric Attacks ◽  
Speeded Up Robust Features ◽  
Key Points ◽  
Value Decomposition ◽  
Watermark Synchronization ◽  
Better Than

A novel watermarking algorithm based on SURF (Speeded Up Robust Features) and Singular Value Decomposition (SVD) is presented for copyright protection. By introducing the SURF’s key points matching and geometric distortion estimation, the attacked watermarked image can be corrected and the watermark synchronization is realized. In this way, the feature regions of the host image, which are used for information hiding, can be correctly detected by the improved Harris-Laplace corner detector even after signal processing and geometric attacks. The application of the proposed scheme makes the watermark capable of transparent hiding. Extensive experimental results demonstrate that our technique performs better than traditional methods under different attacks.

Vibration load and transfer path identification of vehicle using inverse matrix method based on singular value decomposition

2019 ◽  
Vol 234 (6) ◽  
pp. 1703-1713
Author(s):  
Chao Yang ◽  
Yansong Wang ◽  
Hui Guo ◽  
Jiang Lv ◽  
Ningning Liu ◽  
...  
Keyword(s):  
Transfer Function ◽  
Singular Value Decomposition ◽  
Condition Number ◽  
Singular Value ◽  
Reference Points ◽  
Load Identification ◽  
Transfer Function Matrix ◽  
Key Points ◽  
Value Decomposition ◽  
Function Matrix

Based on the theory of inverse transfer matrix, a novel method for simultaneous load identification of vehicle vibration is presented in this paper. Some response, excitation, reference points (called key points) and their transfer paths, which have severe effects on the vibration of a whole vehicle, are defined. The transfer functions among the key points are measured by experiments, and thereby a transfer function matrix of vehicle vibration is established. To solve ill-conditioning problem in the transfer function matrix, the methodology of singular value decomposition is introduced into matrix inversion in the excitation load identification. To reduce the identification error, four transfer function matrices with different reference points and condition numbers are selected and discussed. The results show that the more the reference points are, the smaller the condition number of transfer function matrix is, the higher the accuracy of excitation load identification. The transfer function matrix with minimum condition number is used to identify the excitation loads at the vehicle key points. Experimental verifications suggest that the newly proposed method is effective and feasible for excitation load identification of vehicle vibration. Using the identified excitation loads, furthermore, the vibration causes of the steering wheel and seat rail are obtained, which is helpful for improving vibration performance of the sample vehicle. In applications, the excitation load identification method proposed in this paper may be applied not only to other types of vehicle, but also to other complex electromechanical products for load identification in engineering.

Improving TF-IDF with Singular Value Decomposition (SVD) for Feature Extraction on Twitter

2017 ◽  
Author(s):  
Ammar Ismael Kadhim ◽  
Yu-N Cheah ◽  
Inaam Abbas Hieder ◽  
Rawaa Ahmed Ali
Keyword(s):  
Feature Extraction ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Value Decomposition
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