Matching Algorithm of Binocular Dynamic Vision Measurement

2013 ◽  
Vol 278-280 ◽  
pp. 764-770
Author(s):  
Xue Qi Sun ◽  
Ming Li Dong ◽  
Jun Wang
Keyword(s):  
Measurement System ◽  
Feature Points ◽  
Epipolar Line ◽  
Matching Problem ◽  
Matching Algorithm ◽  
Vision Measurement ◽  
Dynamic Vision ◽  
Disparity Gradient ◽  
Relationship Of ◽  
Double Constraint

In order to realize the correspondence of feature points in the binocular dynamic vision measurement system, the two homologous images matching problem in the paper is studied. First of all, a method of strong space resection. The strong space resection optimizes the elements of exterior orientation, improves the precision, so as to improve the calculating precision of epipolar line. Secondly, an algorithm of multiple restriction matching which is for two homologous images matching of feature points has been introduced. This algorithm based on epipolar line constrain, increases the uniqueness constraint and double constraint, combined with the second match with disparity gradient constrain, finally get the correct matching relationship of feature points in two homologous images. The experimental results show that: this method for matching of binocular dynamic vision measurement system, can get 100% of the matching accuracy rate. And it would satisfy the need of binocular dynamic vision measurement system.

Stereo Matching Algorithm Based on Detecting Feature Points

2012 ◽  
Vol 433-440 ◽  
pp. 6190-6194
Author(s):  
Shuo Bo Xu ◽  
Di Shi Xu ◽  
Hua Fang
Keyword(s):  
Stereo Matching ◽  
Characteristic Point ◽  
Feature Points ◽  
Epipolar Line ◽  
Matching Problem ◽  
Matching Algorithm ◽  
Characteristic Points ◽  
Left And Right ◽  
Straight Lines ◽  
Verification Strategy

A new method for solving the stereo matching problem in the presence of large occlusion is presented. This method for stereo matching and occlusion detection is based on searching disparity point. In this paper, we suppose that a pair of epipolar-line images is a projection of a group of piece-wise straight lines on the left and right images respective. Therefore the disparity curve corresponding to a pair of epipolar-line images may be approximated by a group of piece-wise straight lines. Then the key of solving disparity curve is how to get the “characteristic points” on the group of piece-wise straight lines. Based on this view, we fetched out the conception “disparity point”, and three kinds of special disparity points are correctly corresponding to the “characteristic point”. By analyzing intensity property of a disparity point and its neighbor points, an approach which combines stepwise hypothesis-verification strategy with three constraint conditions is devised to extract the candidate disparity points from the epipolar images.

Parallel acceleration of large scale dynamic vision measurement system

2015 ◽  
Vol 23 (10) ◽  
pp. 2909-2918
Author(s):  
董明利 DONG Ming-li ◽  
许晓臣 XU Xiao-chen ◽  
王君 WANG Jun ◽  
孙鹏 SUN Peng ◽  
燕必希 YAN Bi-xi
Keyword(s):  
Measurement System ◽  
Large Scale ◽  
Vision Measurement ◽  
Dynamic Vision ◽  
Parallel Acceleration

Online Calibration for a Stereo Vision Measurement System

2005 ◽  
Vol 295-296 ◽  
pp. 723-728
Author(s):  
Z.J. Yu ◽  
S.Y. Ma ◽  
R.S. Che ◽  
Q.Z. Wang ◽  
W. Tian ◽  
...  
Keyword(s):  
Stereo Vision ◽  
Measurement System ◽  
Feature Points ◽  
Epipolar Constraint ◽  
Online Calibration ◽  
Measurement Volume ◽  
Vision Measurement ◽  
M Estimator ◽  
Calibration Accuracy ◽  
Stereo Vision Measurement

A new method for calibrating stereo vision measurement system is presented. By moving a rigid optical reference bar in a pattern in and around the measurement volume, the relative orientation and position of the two cameras can be determined by using the epipolar constraint, the linear normalization eight-point algorithm and the M-estimator method. The scale factor of the translation between the two cameras can be calculated by the distances between the marks on the reference bar. With automatically controlled infrared LED marks, the imaging feature points have a uniform intensity profile and a high contrast with background. The calibration accuracy can be improved. The simulation and experiments have shown that the calibration accuracy can be comparable with the complex off-line calibration.

A New Matching Algorithm Based on Characteristic Points of Epipolar Line

2014 ◽  
Vol 522-524 ◽  
pp. 1166-1170
Author(s):  
Ai Hua Xu ◽  
An Tao ◽  
Jia Jing Zhuo ◽  
Lan Qiong Sun
Keyword(s):  
Aerial Images ◽  
Epipolar Line ◽  
Matching Problem ◽  
Matching Algorithm ◽  
Calculation Time ◽  
Image Sampling ◽  
Characteristic Points ◽  
Images Processing

The characteristic points matching is the hot point in the aerial images processing. The matching algorithm of characteristic points based on epipolar line was put forward according to the characteristics of aerial images. This algorithm overcomes some problems in the process of image sampling, solves the matching problem of untextured regions better, and deletes the dissimilarity points, shortens the calculation time greatly as well.

Feature points extraction and matching technology of binocular vision measurement system

2016 ◽  
Vol 37 (6) ◽  
pp. 573-577
Author(s):  
Zhang Yihao ◽  
Sun Dongmei ◽  
Shen Yucheng ◽  
Wang Zhenyao
Keyword(s):  
Binocular Vision ◽  
Measurement System ◽  
Feature Points ◽  
Vision Measurement

Computer vision measurement system for standards calibration in XY plane with sub-micrometer accuracy

2019 ◽  
Vol 105 (1-4) ◽  
pp. 1531-1537 ◽  
Author(s):  
Pedro Bastos Costa ◽  
Fabiana Rodrigues Leta ◽  
Felipe de Oliveira Baldner
Keyword(s):  
Computer Vision ◽  
Measurement System ◽  
Vision Measurement

An Image Matching Algorithm Based on SIFT and Invariability of Feature Points Set

2011 ◽  
Vol 121-126 ◽  
pp. 701-704
Author(s):  
Xue Tong Wang ◽  
Yao Xu ◽  
Feng Gao ◽  
Jing Yi Bai
Keyword(s):  
Image Matching ◽  
Singular Value ◽  
Feature Points ◽  
Matching Algorithm ◽  
Candidate Feature

Feature points can be used to match images. Candidate feature points are extracted through SIFT firstly. Then feature points are selected from candidate points through singular value decomposing. Distance between feature points sets is computed According to theory of invariability of feature points set, images are matched if the distance is less than a threshold. Experiment showed that this algorithm is available.

Clinical Strategy for Optimal Traditional Chinese Medicine (TCM) Herbal Dose Selection in Disease Therapeutics: Expert Consensus on Classic TCM Herbal Formula Dose Conversion

2015 ◽  
Vol 43 (08) ◽  
pp. 1515-1524 ◽  
Author(s):  
Lin-Hua Zha ◽  
Li-Sha He ◽  
Feng-Mei Lian ◽  
Zhong Zhen ◽  
Hang-Yu Ji ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Measurement System ◽  
Expert Consensus ◽  
Dose Effect ◽  
Herbal Formula ◽  
Dose Selection ◽  
Effect Relationship ◽  
Weight Measurement ◽  
Relationship Of

The clinical therapeutics of traditional Chinese medicine (TCM) constitutes a complicated process which involves theory, diagnosis, and formula prescription with specific herbal dosage. Zhang Zhong-Jing’s classic work, Treatise on Febrile and Miscellaneous Diseases, has been influencing TCM practice for almost 2000 years. However, during this extended period of time in Chinese history, the Chinese weight measurement system experienced noticeable changes. This change in the weight measurement system inevitably, and perhaps even negatively, affected TCM herbal dosage determination and treatment outcome. Thus, in modern society, a full understanding of the accuracy of herbal dose selection has a critical importance in the TCM daily practice of delivering the best treatment to the patients suffering from different illnesses. In the 973 Project of the Chinese National Basic Research Program, expert consensus on classic TCM formula dose conversion has been reached based on extensive literature review and discussion on the dose–effect relationship of classic TCM formulas. One “liang” (两) in classic TCM formulas is equivalent to 13.8[Formula: see text]g. However, based on many TCM basic and clinical studies of variable herbal formula prescriptions and herbal drug preparations, the rule of one liang equals 13.8[Formula: see text]g should be adjusted according to different disease conditions. Recommended by the committee on TCM formula dose–effect relationship of the China Association of Chinese Medicine and the World Federation of Chinese Medicine Societies, the following expert consensus has been reached: (i) One liang converts to 6–9[Formula: see text]g for the severely and critically ill patients. (ii) One liang converts to 3–6[Formula: see text]g for the patients suffering from chronic diseases. (iii) One liang converts to 1–3[Formula: see text]g in preventive medicine. The above conversions should be used as a future TCM practice guideline. Using this recommended guideline should enhance the effectiveness of daily TCM practice.

The Simulation of Vision Measurement System for Cannon Barrel Pose

2012 ◽  
Vol 588-589 ◽  
pp. 1337-1340
Author(s):  
Y.X. Zhu ◽  
X.S. Duan
Keyword(s):  
Computer Simulation ◽  
Measurement System ◽  
Simulation Experiment ◽  
New Method ◽  
Simulation Platform ◽  
Motion Model ◽  
Vision Measurement ◽  
Imaging Model

For the pose measurement of cannon barrel, a vision method through checked plane had been proposed. To test and improve the precision of this new method without considering the hardware error and some other inextricable objective factors，derive the imaging model of the marker (checked plane) from motion model of cannon barrel and the position relative to it using variable-controlling method. Establish the computer simulation platform of vision measurement system for cannon barrel pose based on C++ Builder. The simulation experiment validate the veracity and dependability of this method.

Design of Program Framework of Binocular Vision Measurement System Based on DM642

2012 ◽  
Vol 220-223 ◽  
pp. 1311-1314
Author(s):  
Chen Dong ◽  
Shu Guang Dai
Keyword(s):  
Signal Processing ◽  
Binocular Vision ◽  
Measurement System ◽  
Video Processing ◽  
Measurement Instrument ◽  
Rapid Progress ◽  
Image Capture ◽  
Video Signal Processing ◽  
Vision Measurement ◽  
Binocular Measurement

As the rapid progress and development of DSP technology, a new way to solve the video signal processing was accepted. At present, binocular measurement instrument are mostly based on image capture card and PC on the market, expensive and bulky. For this problem, binocular vision measurement system based on DSP has been used. The design of elementary program structure about video processing which based on DSP/BIOS was finished and verified for its real-time. The results of the experiment show that the driver can be well used in the system.

Sign in / Sign up

Export Citation Format

Share Document