Evaluating 3D position and velocity of subject in parabolic flight experiment by use of the binocular stereo vision measurement

It is important to obtain the 3d coordinate in the field of measuring. How accurate, fast, convenient to obtain the 3d coordinate affects the accuracy and reliability of measurement directly. Through studying the basic theories of machine vision this paper focus on the study of a stereo vision measurement model based on the intersecting axis. In view of the parameters in the model of binocular stereo vision, this paper uses the Zhang Zhengyou calibration method to calibrate the system of Stereo vision. In order to test the accuracy of the system, this paper measures the distance of two standard circular. Finally, the machining experiment validates the proposed method.

Download Full-text

Lane Offset Survey for One-Lane Horizontal Curvatures Using Binocular Stereo Vision Measurement System

Journal of Surveying Engineering ◽

10.1061/(asce)su.1943-5428.0000370 ◽

2021 ◽

Vol 147 (4) ◽

pp. 04021017

Author(s):

Lexuan Liu

Keyword(s):

Stereo Vision ◽

Measurement System ◽

Vision Measurement ◽

Binocular Stereo Vision ◽

Binocular Stereo ◽

Stereo Vision Measurement

Download Full-text

Baggage Specification Detection Based on the Binocular Vision

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.278-280.861 ◽

2013 ◽

Vol 278-280 ◽

pp. 861-865

Author(s):

Qing Ji Gao ◽

Lu Yang

Keyword(s):

Stereo Vision ◽

Stereo Matching ◽

Three Dimensional ◽

Detection Algorithm ◽

Epipolar Constraint ◽

Middle Point ◽

Vision Measurement ◽

Binocular Stereo Vision ◽

Binocular Stereo ◽

Stereo Vision Measurement

To the baggage specification automatically detection problem of self-service bag drop system, a baggage size detection algorithm based on stereo vision is proposed. The algorithm is based on binocular stereo vision measurement principle. Firstly, the canny edges of baggage image are extracted as the feature points. With the disparity gradient constraint and epipolar constraint, Stereo matching algorithm based on edge features is proposed, meanwhile, the two images play a symmetric role to ensure the reliability of matching in the matching process. The coordinates of the three dimensional points are derived with approximation of the middle point of the common perpendicular line in different planes. Experimental results show that the proposed algorithm can detect the baggage specification with appropriate accuracy.

Download Full-text

Fuzzy neural network vibration control on a piezoelectric flexible hinged plate using stereo vision detection

Journal of Intelligent Material Systems and Structures ◽

10.1177/1045389x18818766 ◽

2019 ◽

Vol 30 (4) ◽

pp. 556-575 ◽

Cited By ~ 3

Author(s):

Zhi-cheng Qiu ◽

Tao-xian Wang

Keyword(s):

Neural Network ◽

Stereo Vision ◽

Fuzzy Neural Network ◽

Residual Vibration ◽

Vision Measurement ◽

Binocular Stereo Vision ◽

Fuzzy Neural ◽

Binocular Stereo ◽

Hinged Plate ◽

Stereo Vision Measurement

Vibration control on a two-connected piezoelectric flexible hinged plate is investigated, using a fuzzy neural network algorithm based on binocular vision measurement. As for vision sensing, a method to acquire vibration signals of the low frequency bending and torsional mode is investigated. To damp out the residual vibration quickly, the fuzzy neural network is applied to ensure the stability and control effect adaptively. To verify the stereo vision measurement method and the applied controller, an experimental setup of the piezoelectric flexible hinged plate with a binocular stereo vision is constructed. Experiments are conducted by using the binocular stereo vision measurement system and the adopted controller. The experimental results demonstrate the feasibility of the visual measurement method. Furthermore, the designed fuzzy neural network can attenuate the bending and torsional vibrations quickly, in comparison with proportional and derivative control, particularly for the small-level residual vibration.

Download Full-text