Rectification Y-Coordinate of Epipolar Geometry in Calibration of Binocular Eye System

Abdullah, Sukarnur Che; Yusof, Yushaizad; Rashid, Helmi; Ma’arof, Muhammad Izzat Nor

doi:10.1016/j.procs.2015.12.324

“…In the other hand the fixed variable were the shape and the size of the object, background environment, angle of the cameras and light position. Figure 2 shows the successful method [7] camera calibration. If both images from left and right camera were quite similar, both images can easily have rectified and paired the points of the corner of the squares in between the both images.…”

Section: Resultsmentioning

confidence: 99%

“…𝐴 1 𝑋 + 𝐵 1 𝑌 = 𝐶 1 (This is Line we form from points above) 𝐴 2 𝑋 + 𝐵 2 𝑌 = 𝐶 2 (The Second Line is from the Rectangle) Now, we have several lines in the form Ax + By = C. So solving for intersection is just solving a set of equations, to solve it by multiply the first equation with B2 and the second with B1. Then you end up with equation (7) and equation ( 8):…”

Section: Methodsmentioning

confidence: 99%

Stereo Vision for Visual Object Tracking and Distance Measurement Assessment

Abdullah¹,

Ohka²,

Amari³

2019

JMechE

View full text Add to dashboard Cite

The computer vision for binocular eyes system has many applications in robot applications and safety purposes. Based on the previous research, the combination of the area of sight of stereo vision will trigger the trigonometry intersection point for determine the distance of the objects from it baseline. The system programme codes is one of the issue need to confront consequent since there are various sorts of calculation that are in the same field, however has unmistakable of use. This project focuses on how to measure distances using binocular vision. The main objective is to evaluate the binocular vision system by calculating the distance of objects in real environment. Furthermore, the project proposes a new program algorithm for binocular vision system to work, in order to identify distance of an object with a basic equation has been derived and set in the designed algorithm. The setting environment are set to single and multi-objects measured, object in environment and changes of degree of bright light. Evaluation of the system shows the detected distances are consistence and the data were recorded. The value of the distances detected are then compared with the real environment distances. The result show distances measured moderate enough for proposed system to function and may facilitate improvements in computer vision system for industry.

show abstract

“…Fig. 2 shows the successful method [7] camera calibration. If both images from left and right camera were quite similar, both images can easily have rectified and paired the points of the corner of the squares in between the both image.…”

Section: Resultsmentioning

confidence: 99%

Stereo Vision Distance Measurement Assessment

Abdullah¹,

Amari²

2018

IJIEE

0

View full text Add to dashboard Cite

The computer vision for binocular eyes system has many applications in robot applications and safety purposes. Based on the previous research, the combination of the area of sight of stereo vision will trigger the trigonometry intersection point for determine the distance of the objects from it baseline. The system programme codes is one of the issue need to confront consequent since there are various sorts of calculation that are in the same field, however has unmistakable of use. This project focuses on how to measure distances using binocular vision. The main objective is to evaluate the binocular vision system by calculating the distance of objects in real environment. Furthermore, the project proposes a new program algorithm for binocular vision system to work, in order to identify distance of an object with a basic equation has been derived and set in the designed algorithm. The setting environment are set to single and multi-objects measured, object in environment and changes of degree of bright light. Evaluation of the system shows the detected distances are consistence and the data were recorded. The value of the distances detected are then compared with the real environment distances. The result show distances measured moderate enough for proposed system to function and may facilitate improvements in computer vision system for industry.

show abstract

“…Therefore, the chessboard pattern calibration method is chosen as the calibration method in this project due to the simple geometry. The procedure of stereo calibration process involved were taking few sets of raw image pair, execute calibration algorithm by OpenCV, process distortion images, process rectification and save the intrinsic and extrinsic camera parameters (Abdullah et al, 2015). Stereo matching is the process of matching a 3D point in the two different camera views, which can be computed only over the visual areas in which the views of the two cameras overlap ( Bradski & Kaehler, 2008).…”

Section: Camera Calibrationmentioning

confidence: 99%

Development and Performance Evaluation of Distance Measurements Detection Using 3 Axis Binocular Vision System

Amari¹,

Abdullah²,

Yen³

et al. 2021

IJARBSS

0

View full text Add to dashboard Cite

The world currently entering industry 4.0, which the industrial processes become automated and remotely control by computer with little input from human operators. Binocular vision is the result of signal sent to brain from eyes simultaneously which having advantage of depth perception. This project is about distance measurement of the object in 3-axis by using the advantages of binocular vision system. In this project, two webcams were used as binocular vision system to capture image and detect the distance measurement of the sample objects in 3-axis. The cameras must be calibrated before start to computing the distance measurement due to the fish eyes effect caused by the lens. In this project, the cameras were calibrated by using chessboard pattern with the size of 9x6 internal corners due to the simple geometry. The distance measurement algorithm will be executed once the cameras are calibrated, and the distance measurement is computed by using trigonometry concept.

show abstract

Rectification Y-Coordinate of Epipolar Geometry in Calibration of Binocular Eye System

Cited by 6 publications

References 6 publications

Stereo Vision for Visual Object Tracking and Distance Measurement Assessment

Stereo Vision for Visual Object Tracking and Distance Measurement Assessment

Stereo Vision Distance Measurement Assessment

Development and Performance Evaluation of Distance Measurements Detection Using 3 Axis Binocular Vision System

Contact Info

Product

Resources

About