A Method to Obtain the Position of Space Object Based on Monocular Vision and Laser Ring

2011 ◽  
Vol 308-310 ◽  
pp. 1619-1626
Author(s):  
Nan Yin ◽  
Xing Long Zhu ◽  
Xin Zhao ◽  
Shang Gao
Keyword(s):  
Light Source ◽  
Target Object ◽  
Closed Curve ◽  
Monocular Vision ◽  
Least Square ◽  
Virtual Object ◽  
Space Object ◽  
Object A ◽  
Curve Equation ◽  
Laser Ring

When the cylindrical laser shines on the target object, a spot can be obtained, which the edge is a closed curve, marked as C1. The imaging of the curve C1 on the image surface of CCD is a closed curve C2 too. Coordinate system is established to describe the position relationship among camera, image and light source, and to analyze the principle for monocular vision and laser ring to get the information about the object depth. In order to solve the problem and make the above principle clear, the key is to work out the expression for the curve C2 on the image surface of CCD. In order to calculate the closed curve C2 expression, the curve C2 will firstly be divided into two parts, the upper curve and the lower one. According to least-square polynomial, discrete points on the curves of two parts are drawn out, constraints are established and the curve equations are fitted. Then, to verify practicality of this method, a virtual model scene will be created, through which relevant data describing edge of virtual CCD image and that of a virtual spot when the virtual light source alights on the virtual object will be obtained. At last, closed curve equation will be fitted in accordance with data describing edge of virtual image; the position of space object will be fixed by making use of light source equation and closed curve equation; and a contrast will be made between the calculated value and data of the spot edge to prove whether a method to obtain the position of space objects based on monocular vision and laser ring is feasible.

Predicting User Performance in Augmented Reality User Interfaces with Image Analysis Algorithms

2020 ◽  
Vol 64 (1) ◽  
pp. 2108-2112
Author(s):  
Jonathan Flittner* ◽  
John Luksas ◽  
Joseph L. Gabbard
Keyword(s):  
Image Analysis ◽  
Augmented Reality ◽  
Response Time ◽  
User Interfaces ◽  
Target Object ◽  
Virtual Object ◽  
User Performance ◽  
Object A ◽  
Real Objects ◽  
The Individual

This study determines how to apply existing image analysis measures of visual clutter to augmented reality user interfaces, in conjunction with other factors that may affect performance such as the percentage of virtual objects compared to real objects in an interface, and the type of object a user is searching for (real or virtual). Image analysis measures of clutter were specifically chosen as they can be applied to complex and naturalistic images as is common to experience while using an AR UI. The end goal of this research is to develop an algorithm capable of predicting user performance for a given AR UI. In this experiment, twelve participants performed a visual search task of locating a target object in an array of objects where some objects were virtual, and some were real. Participants completed this task under three different clutter levels (low, medium, high) against five different levels of virtual object percentage (0%, 25%, 50%, 75%, 100%) and two types of targets (real, virtual) with repetition. Task performance was measured through response time. Results show significant differences in response time between clutter levels and between virtual object percentage, but not target type. Participants consistently had more difficulty finding objects in more cluttered scenes, where clutter was determined through image analysis methods, and had more difficulty in finding objects when the virtual of objects was at 50% as opposed to other scenarios. Response time positively correlated to measures of combined clutter (virtual and real) arrays but not for measures of clutter taken of the individual array components (virtual or real), and positively correlated with the clutter scores of the target objects themselves.

scholarly journals A novel method of 3D motion object’s position perception

2018 ◽  
Vol 246 ◽  
pp. 03020
Author(s):  
Tan Wei ◽  
Xuan Liu ◽  
Chen Yi ◽  
Erfu Yang
Keyword(s):  
Measurement Method ◽  
Moving Objects ◽  
Target Object ◽  
Monocular Vision ◽  
Position Information ◽  
Sorting Method ◽  
3D Objects ◽  
The Disabled ◽  
Novel Method ◽  
Location Measurement

With the development of industrial automation, location measurement of 3D objects is becoming more and more important, especially as it can provide necessary positional parameters for the manipulator to grasp the object accurately. In view of the disabled object which is in widespread use currently, its image is captured to obtain positional parameters and transmitted to manipulators in industry. The above process is delayed, affecting the work efficiency of the manipulator. A method for calculating the position information of target object in motion is proposed. This method uses monocular vision technology to track 3D moving objects，then uses contour sorting method to extract the minimum constrained contour rectangle, and combines the video alignment technology to realize the tracking. Thus, the measurement error is reduced. The experimental results and analysis show that the adopted measurement method is effective.

scholarly journals Use of the Distance Transform for Integration of Local Measurements: Principle and Application in Chemical Engineering

2016 ◽  
Vol 22 (2) ◽  
pp. 422-431 ◽  
Author(s):  
Loïc Sorbier ◽  
Frédéric Bazer-Bachi ◽  
Yannick Blouët ◽  
Maxime Moreaud ◽  
Virginie Moizan-Basle
Keyword(s):  
Chemical Engineering ◽  
Least Square ◽  
Infinite Cylinder ◽  
Distance Transform ◽  
High Symmetry ◽  
Object A ◽  
Local Measurements ◽  
Symmetrical Object ◽  
Relative Errors ◽  
The Cost

AbstractWe propose an original methodology to integrate local measurement for nontrivial object shape. The method employs the distance transform of the object and least-square fitting of numerically computed weighting functions extracted from it. The method is exemplified in the field of chemical engineering by calculating the global metal concentration in catalyst grains from uneven metal distribution profiles. Applying the methodology on synthetic profiles with the help of a very simple deposition model allows us to evaluate the accuracy of the method. For high symmetry objects such as an infinite cylinder, relative errors on global concentration are lower than 1% for well-resolved profiles. For a less symmetrical object, a tetralobe, the best estimator gives a relative error below 5% at the cost of increased measurement time. Applicability on a real case is demonstrated on an aged hydrodemetallation catalyst. Sampling of catalyst grains at the inlet and outlet of the reactor allowed conclusions concerning different reactivity for the trapped metals.

VISUAL EFFECTS OF OBJECTS UNDER METAMERISM WITH MULTI-SPECTRAL LIGHT SOURCE

2021 ◽  
Author(s):  
Y.M. Li ◽  
H. Fan ◽  
C.H. Lin ◽  
J.U. Chong ◽  
T.X. Lee
Keyword(s):  
Light Source ◽  
Positive Relationship ◽  
Target Object ◽  
Visual Effects ◽  
Colour Temperature ◽  
Lighting Conditions ◽  
The Future ◽  
Convenience Sampling ◽  
Colour Rendering

This study attempts to simulate the metamerism colour, and the guava was used as the target object. We design four sets of metamers with a correlated colour temperature of 4000K and an illuminance of 750lux. The light source was simulated in the LED cube. The subjects with convenience sampling observed the visual effects, including look delicious, colourful, and colour rendering of guava under metamerism, then analysed its relationship with CRI and CQS. The results showed that colour rendering and visual effects are not a positive relationship, and the effect of CQS is closer to the visual effects of the subjects. The results of this study can be used as a reference for light source lighting designers as a basis for improving lighting conditions. In the future, we can collect databases for the different objects with an optimized multi-spectral light source.

Research of Method about Geomagnetic Sensor Data Processing by Optimal Idea

2011 ◽  
Vol 320 ◽  
pp. 647-650
Author(s):  
Chan Yuan Liu
Keyword(s):  
Data Processing ◽  
Curve Fitting ◽  
Least Square Method ◽  
Least Square ◽  
Sensor Data ◽  
Nonlinear Curve Fitting ◽  
Curve Equation ◽  
Nonlinear Curve ◽  
The Way ◽  
Circular Curve

A method of optimal idea, in the paper, is used to process geomagnetic sensor data. The curve fitting by use of the method is more convenient than least square method (LSM). It adapts especially to process nonlinear curve fitting. Circular curve equation is fitted depending on a set of geomagnetic sensor data. It proves that the way is convenient and feasible

Three-Dimensional Object Surface Reconstruction Based on Camera Calibration and SIFT

2015 ◽  
Vol 719-720 ◽  
pp. 1191-1197 ◽  
Author(s):  
Jun Zhang ◽  
Long Ye ◽  
Qin Zhang ◽  
Jing Ling Wang
Keyword(s):  
3D Reconstruction ◽  
Camera Calibration ◽  
Image Matching ◽  
Three Dimensional ◽  
Target Object ◽  
Object A ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Dimensional Object

This paper is focused on camera calibration, image matching, both of which are the key issues in three-dimensional (3D) reconstruction. In terms of camera calibration firstly, we adopt the method based on the method proposed by Zhengyou Zhang. In addition to this, it is selective for us to deal with tangential distortion. In respect of image matching, we use the SIFT algorithm, which is invariant to image translation, scaling, rotation, and partially invariant to illumination changes and to affine or 3D projections. It performs well in the follow-up matching the corresponding points. Lastly, we perform 3D reconstruction of the surface of the target object. A Graphical User Interface is designed to help us to realize the key function of binocular stereo vision, with better visualization. Apparently, the entire GUI brings convenience to the follow-up work.

A Method of Determining the Pose of Planar Target in Vision Detection System

2013 ◽  
Vol 659 ◽  
pp. 156-161
Author(s):  
Sheng Nan Zhang ◽  
Bo Shi Wang ◽  
Wei Qi Yuan
Keyword(s):  
Detection System ◽  
Relative Displacement ◽  
Monocular Vision ◽  
Depth Information ◽  
Planar Target ◽  
Vision Detection ◽  
Ccd Image ◽  
The Relationship ◽  
Curve Equation ◽  
Independent Parameters

Planar target is a location reference that is widely used in vision detection system. Based on monocular vision and circular markers on the planar target, a new method of determining the pose of target spatial plane is proposed. Since CCD image of a circle is an ellipse ,determining the pose of spatial plane may be transformed into determining the pose of ellipse. Ellipse curve equation of circle’s image is deduced and the independent parameters of ellipse are obtained, the relationship between spatial plane and ellipse parameters is established, thus the pose of spatial plane can be determined. By calculating the relative displacement with the standard plane that its depth information is known, the depth information from the center of ellipse image to the camera coordinate system is obtained. The algorithm is simple and fast, and it can be widely used in monocular vision detection.

scholarly journals Transmission corridor line safety monitoring method based on monocular vision

2021 ◽  
Vol 2087 (1) ◽  
pp. 012025
Author(s):  
Minzhen Wang ◽  
Ziwen Shang ◽  
Jiankai Guo ◽  
Dongliang Qiao ◽  
Wentao Dai
Keyword(s):  
Power Transmission ◽  
Design Method ◽  
Safety Monitoring ◽  
Target Object ◽  
Monocular Vision ◽  
Control Group ◽  
Traditional Methods ◽  
Monitoring Method ◽  
Security Monitoring ◽  
Vision Measurement

Abstract Aiming at the problem of low accuracy of traditional methods in transmission corridor line safety monitoring, a transmission corridor line safety monitoring method based on monocular vision is designed. First of all, this article defines the target object of the safety monitoring of the transmission corridor line. Then, based on the monocular vision measurement to obtain the internal parameters of the camera geometry, optical characteristics, etc., the position of the power transmission corridor line security surveillance camera is calibrated, the power transmission corridor line security monitoring graphics are displayed, and the security monitoring data of the transmission corridor line is used for perception and track.Finally, the safety monitoring and early warning of transmission corridor lines are realized. The experimental results show that the monitoring accuracy of the design method is significantly higher than that of the control group, which can solve the problem of low accuracy of transmission corridor line safety monitoring by traditional methods.

Lighting, Fog, and Background

2011 ◽  
pp. 114-131
Author(s):  
Chi Chung Ko ◽  
Chang Dong Cheng
Keyword(s):  
Light Source ◽  
Real World ◽  
Computer Image ◽  
Virtual Object ◽  
Light Sources ◽  
Java 3D ◽  
Visual Impression ◽  
3D Objects ◽  
Visual Objects ◽  
Light Rays

How the properties of virtual 3D objects can be specified and defined has been discussed in earlier chapters. However, how a certain virtual object will appear to the user will in general depends also on human visual impression and perception, which depends to a large extent on the lighting used in illumination. As an example, watching a movie in a dark theatre and under direct sunlight will give rise to different feeling and immersion even though the scenes are the same. Thus, in addition to defining the skeleton of a virtual object by using geometry objects in Java 3D in Chapter III, setting the appearance attributes in Chapter IV and applying texture in Chapter V to give a realistic skin to the virtual object, appropriate environmental concerns such as light, background and even fog are often necessary to make the virtual object appear as realistic to the user as possible. In this chapter, we will discuss topics related to the latter environmental issues. The use of proper lighting is thus crucial to ensure that the 3D universe created is realistic in feeling and adds to strong emotional impressions in any application. For this purpose, Java 3D has a variety of light sources that can be selected and tailored to different scenarios. Technically, light rays are not rendered. In fact, their effects will only become visible once they hit an object and reflect to the viewer. Of course, as with any object in the real world, the reflection depends on the material attributes of the objects. In this chapter, we will discuss the use of different types of light source and their effects after describing the lighting properties or materials of visual objects. We will then outline the use of fogging techniques to turn a hard and straight computer image into a more realistic and smoother scene before discussing methods for immersing active visual objects in a background.

When rank counts — dominant dogs learn better from a human demonstrator in a two-action test

Behaviour ◽  
2012 ◽  
Vol 149 (1) ◽  
pp. 111-132 ◽  
Author(s):  
Péter Pongrácz ◽  
Petra Bánhegyi ◽  
Ádám Miklósi
Keyword(s):  
Social Learning ◽  
Social Rank ◽  
Target Object ◽  
The Other ◽  
Control Group ◽  
Object A ◽  
Companion Dogs ◽  
Initial Preference ◽  
The Social ◽  
Human Demonstration

AbstractDogs can learn effectively from a human demonstrator in detour tests as well as in different kinds of manipulative tasks. In this experiment we used a novel two-action device from which the target object (a ball) was obtained by tilting a tube either by pulling a rope attached to the end of the tube, or by directly pushing the end of the tube. Tube tilting was relatively easy for naïve companion dogs; therefore, the effect of the human demonstration aimed to alter or increase the dogs’ initial preference for tube pushing (according to the behaviour shown by naïve dogs in the absence of a human demonstrator). Our results have shown that subjects preferred the demonstrated action in the two-action test. After having witnessed the tube pushing demonstration, dogs performed significantly more tube pushing than the dogs in the rope pulling demonstration group. In contrast, dogs that observed the rope pulling demonstration, performed significantly more similar actions than the subjects of the other demonstration group. The ratio of rope pulling was significantly higher in the rope pulling demonstration group, than in the No Demo (control) group. The overall success of solving the task was also influenced by the social rank of the dog among its conspecific companions at home. Independently of the type of demonstration, dominant dogs solved the task significantly more often than the subordinate dogs did. There was no such difference in the No Demo group. This experiment has shown that a simple two-action device that does not require excessive pre-training, can be suitable for testing social learning in dogs. However, effects of social rank should be taken into account when social learning in dogs is being studied and tested, because dominant and subordinate dogs perform differently after observing a demonstrator.

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