scholarly journals The Application of Visual Sensors in the Artistic Design of College Campus Landscape

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xuan Kan ◽  
Deli Cao
Keyword(s):  
Real Time ◽  
Stereo Vision ◽  
Landscape Design ◽  
College Campus ◽  
Monitoring Method ◽  
Visual Monitoring ◽  
Vision Measurement ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Stereo Vision Measurement

The research purpose is to solve the problems of low efficiency, low accuracy, and high cost of traditional environmental landscape mapping and landscape volume measurement methods in the artistic design of college campus landscape and make up the defects that the traditional campus monitoring is vulnerable to adverse weather, which results in low monitoring accuracy. Primarily, a binocular stereo vision measurement based on Scale Invariant Feature Transform (SIFT) matching algorithm is proposed, which can realize accurate collection of environmental spatial information and measurement of landscape volume without contact in the process of campus landscape design. Then, the visual monitoring system of college landscape based on the Internet of Things (IoT) is constructed to realize real-time monitoring and early warning of human damage to campus landscape. The proposed method is verified by actual measurement of different objects and simulation experiments using simulation software. Ultimately, the application of visual sensors in artistic design of college campus landscape is analysed by literature analysis. The results show that (1) the error of the improved binocular stereo vision measurement designed here is 52.32% and 59.69% lower than that of the traditional measurement method when measuring the same object with different volumes and the volumes of different objects, respectively, which indicates that the measurement accuracy of the new method is higher. (2) The proposed landscape visual monitoring method based on IoT improves the image recognition accuracy by 21% compared with the traditional digital image monitoring method. The average recognition time is shortened by 12 ms, which ensures the accuracy and improves the recognition efficiency. (3) Through the analysis of existing literature, it is found that the binocular stereo vision sensor can be used to monitor the whole process of landscape construction in real time. The sensor can be combined with social networks, mobile terminals, and physiological monitoring equipment to comprehensively analyse and evaluate people’s preference for campus landscape. The proposed method has broad application prospects in campus landscape design, construction, and maintenance. The research purpose is to provide important technical support for the improvement of the overall image of the college campus and even the city for the design of landscape environment and the technical upgrading of maintenance work in the college campus.

A Study of 3d Coordinate Measuring Based on Binocular Stereo Vision

2015 ◽  
Vol 740 ◽  
pp. 531-534 ◽  
Author(s):  
Tao He ◽  
Jiu Yin Chen ◽  
Xiang Hu ◽  
Xian Wang
Keyword(s):  
Machine Vision ◽  
Stereo Vision ◽  
Calibration Method ◽  
Measurement Model ◽  
Vision Measurement ◽  
Model Based ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
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.

Baggage Specification Detection Based on the Binocular Vision

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.

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

2019 ◽  
Vol 30 (4) ◽  
pp. 556-575 ◽  
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.

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