scholarly journals Collaboration calibration and three-dimensional localization in multi-view system

2018 ◽  
Vol 15 (6) ◽  
pp. 172988141881377
Author(s):  
Sheng Feng ◽  
Chengdong Wu ◽  
Yunzhou Zhang ◽  
Shigen Shen
Keyword(s):  
Real Time ◽  
Three Dimensional ◽  
Research Field ◽  
Localization Accuracy ◽  
Two Dimensional Image ◽  
Centroid Algorithm ◽  
3D Space ◽  
3D Localization ◽  
Extrinsic Parameters ◽  
Intrinsic And Extrinsic Parameters

In this research, the authors have addressed the collaboration calibration and real-time three-dimensional (3D) localization problem in the multi-view system. The 3D localization method is proposed to fuse the two-dimensional image coordinates from multi-views and provide the 3D space location in real time. It is a fundamental solution to obtain the 3D location of the moving object in the research field of computer vision. Improved common perpendicular centroid algorithm is presented to reduce the side effect of the shadow detection and improve localization accuracy. The collaboration calibration is used to generate the intrinsic and extrinsic parameters of multi-view cameras synchronously. The experimental results show that the algorithm can complete accurate positioning in indoor multi-view monitoring and reduce the complexity.

Camera Calibration Based Multi-Objects Location in Binocular Stereo Vision

2015 ◽  
Vol 719-720 ◽  
pp. 1217-1222 ◽  
Author(s):  
Ying Zhu ◽  
Long Ye ◽  
Jing Ling Wang ◽  
Qin Zhang
Keyword(s):  
Camera Calibration ◽  
Three Dimensional ◽  
Mathematical Methods ◽  
3D Space ◽  
Binocular Stereo Vision ◽  
Extrinsic Parameters ◽  
Binocular Stereo ◽  
Left And Right ◽  
Three Dimensional Coordinate ◽  
Intrinsic And Extrinsic Parameters

In order to capture high quality binocular stereo video, it is necessary to manipulate both the convergence and the interaxial to take control of the depth of objects within the 3D space. Therefore the scene understanding becomes important as it can increase the efficiency of parameters control. In this paper, a camera calibration based multi-objects location method is introduced with the motivation that supply prior information of adjusting the convergence and the interaxial during capturing. Firstly, we are intended to calibrate the two cameras to get the intrinsic and extrinsic parameters. And then, we select points of the object in the images taken by left and right cameras respectively to determine its locations in the two images. With three-dimensional coordinate of objects, the distance between the object and camera baseline is calculated by mathematical methods.

AN ANALYTICAL SOLUTION TO THE PERSPECTIVE-N-POINT PROBLEM FOR COMMON PLANAR CAMERA AND FOR CATADIOPTRIC SENSOR

2008 ◽  
Vol 08 (01) ◽  
pp. 135-155 ◽  
Author(s):  
JONATHAN FABRIZIO ◽  
JEAN DEVARS
Keyword(s):  
Computer Vision ◽  
Analytical Solution ◽  
Real Time ◽  
Video Camera ◽  
Coordinate Space ◽  
Point Problem ◽  
Localization Accuracy ◽  
Computer Vision Applications ◽  
Set Of Points ◽  
Intrinsic And Extrinsic Parameters

The Perspective-N-Point problem (PNP) is a notable problem in computer vision. It consists of given N points known in an object coordinate space and their projection onto the image, estimating the distance between the video camera and the set of points. By the use of an unusual formulation, we propose a method to get a strictly analytical solution based on the resolution of linear systems. This solution can be computed instantly and is well adapted to real time computer vision applications. Our approach is general enough to work with a nonlinear sensor like a catadioptric panoramic sensor. To improve the localization accuracy, we also provide a technique to correct geometrical distortion. This algorithm also corrects little errors on intrinsic and extrinsic parameters. Well implemented, this correction can be performed in real time.

A 3D Reconstruction Method Based on Binocular View Geometry

2010 ◽  
Vol 33 ◽  
pp. 299-303
Author(s):  
Zhong Yan Liu ◽  
Guo Quan Wang ◽  
Dong Ping Wang
Keyword(s):  
3D Reconstruction ◽  
Three Dimensional ◽  
Reconstruction Method ◽  
Feature Points ◽  
Imaging Model ◽  
Extrinsic Parameters ◽  
Image Acquisition System ◽  
Rearview Mirror ◽  
3D Information ◽  
Intrinsic And Extrinsic Parameters

A method was proposed to gain three-dimensional (3D) reconstruction based on binocular view geometry. Images used to calibrate cameras and reconstruct car’s rearview mirror by image acquisition system, by calibration image, a camera's intrinsic and extrinsic parameters, projective and fundamental matrixes were drawn by Matlab7.1;the collected rearview mirror images is pretreated to draw refined laser, extracted feature points, find the very appropriate match points by epipolar geometry principle; according to the camera imaging model to calculate the coordinates of space points, display point cloud, fitting space points to reconstruct car’s rearview mirror; experimental results show this method can better restore the car’s rearview mirror of 3D information.

Photogrammetry Technology of Three Dimensional Coordinate in the Construction of Curved Surface

2013 ◽  
Vol 694-697 ◽  
pp. 1251-1254
Author(s):  
Jian Min Chen ◽  
Ping Mei Gao ◽  
Xiao Dong Hao ◽  
Chun Yv Lu
Keyword(s):  
Binocular Vision ◽  
3D Model ◽  
Three Dimensional ◽  
Curved Surface ◽  
Offshore Platforms ◽  
Measuring Complex ◽  
Extrinsic Parameters ◽  
3D Photogrammetry ◽  
Three Dimensional Coordinate ◽  
Intrinsic And Extrinsic Parameters

To solve the problem that the workload of measuring complex and large components of platforms is large during offshore platforms constructing, this paper puts forward 3d photogrammetry. With the help of the matlab calibration software tooibox_calib, we calibrate the intrinsic and extrinsic parameters of camera. Then through the measurement of intersected binocular vision, we reconstruct the 3d model of the curved surface.

scholarly journals Tongue–Computer Interface Prototype Design Based on T-Type Magnet Localization for Smart Environment Control

2018 ◽  
Vol 8 (12) ◽  
pp. 2498 ◽  
Author(s):  
Hui-Min Shen ◽  
Yang Yue ◽  
Chong Lian ◽  
Di Ge ◽  
Geng Yang
Keyword(s):  
Real Time ◽  
Motion Tracking ◽  
Three Dimensional ◽  
Calibration Method ◽  
Computer Interface ◽  
Localization Accuracy ◽  
Marquardt Algorithm ◽  
Environment Control ◽  
Axis Rotation ◽  
Type Magnet

The interactions between paralyzed individuals with severe physical disabilities and smart infrastructure need to be facilitated, and the tongue–computer interface (TCI) provides an efficient and feasible solution. By attaching a permanent magnet (PM) on the apex of the tongue, the real-time tongue motion tracking can be switching to solve a nonlinear inverse magnetic problem. This paper presents a proof-of-concept prototype TCI system utilizing a combined T-type PM marker for potential environment control. The introduction of the combined T-type PM promotes the anisotropy of the magnetic field distribution. A comprehensive calibration method for the sensing system is proposed to figure out the bias in the magnetic moment of the PM marker and the sensing axis rotation of the sensors. To address the influence of initialization in solving the overdetermined inverse magnetic problem, an adaptive Levenberg–Marquardt algorithm is designed utilizing real-time measurements. Bench-top experiments were carried out based on a high-precision three-dimensional (3D) translation platform, and the feasibility of the proposed TCI system in magnetic localization accuracy and efficiency is fully assessed. The mean localization error is 1.65 mm with a mean processing time of 65.7 ms, and a mean improvement of 54.7% can be achieved compared with a traditional LM algorithm.

scholarly journals Noninvasive Electroencephalogram Based Control of a Robotic Arm for Writing Task Using Hybrid BCI System

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Qiang Gao ◽  
Lixiang Dou ◽  
Abdelkader Nasreddine Belkacem ◽  
Chao Chen
Keyword(s):  
Real Time ◽  
Three Dimensional ◽  
Robotic Arm ◽  
Eeg Signal ◽  
Whole Process ◽  
3D Space ◽  
Teeth Clenching ◽  
Robotic Arm Control ◽  
Decoding Accuracy ◽  
Writing Task

A novel hybrid brain-computer interface (BCI) based on the electroencephalogram (EEG) signal which consists of a motor imagery- (MI-) based online interactive brain-controlled switch, “teeth clenching” state detector, and a steady-state visual evoked potential- (SSVEP-) based BCI was proposed to provide multidimensional BCI control. MI-based BCI was used as single-pole double throw brain switch (SPDTBS). By combining the SPDTBS with 4-class SSEVP-based BCI, movement of robotic arm was controlled in three-dimensional (3D) space. In addition, muscle artifact (EMG) of “teeth clenching” condition recorded from EEG signal was detected and employed as interrupter, which can initialize the statement of SPDTBS. Real-time writing task was implemented to verify the reliability of the proposed noninvasive hybrid EEG-EMG-BCI. Eight subjects participated in this study and succeeded to manipulate a robotic arm in 3D space to write some English letters. The mean decoding accuracy of writing task was 0.93±0.03. Four subjects achieved the optimal criteria of writing the word “HI” which is the minimum movement of robotic arm directions (15 steps). Other subjects had needed to take from 2 to 4 additional steps to finish the whole process. These results suggested that our proposed hybrid noninvasive EEG-EMG-BCI was robust and efficient for real-time multidimensional robotic arm control.

Real-Time 3D Space Coordinate Acquisition of Medical Visualization Data

2010 ◽  
Vol 44-47 ◽  
pp. 3534-3537
Author(s):  
Zhan Li Hu ◽  
Jian Bao Gui ◽  
Jing Zou ◽  
Jun Yan Rong ◽  
Qi Yang Zhang ◽  
...  
Keyword(s):  
Real Time ◽  
Medical Images ◽  
3D Visualization ◽  
Medical Science ◽  
Three Dimensional ◽  
Medical Visualization ◽  
3D Images ◽  
Anatomy And Physiology ◽  
Time Interaction ◽  
3D Space

Medical visualization refers to the techniques and processes used to create images of the human body for clinical purposes or medical science including the study of normal anatomy and physiology. The visualization of medical images data sets is to reconstruct 3D images with the 2D slice images so as to reveal the 3D configuration of organs through human visual system. Visual C++ are used to reconstruct 3D images using the CT slice sequence. The key algorithms and human CT 3D visualization results are given in this paper. The coordinates can be acquired by the mouse clicking in the 3D space, by which to realize the point coordinate acquisition of the 3D medicine images. The visualization of medical images can provide us with more information and means of visual interactive for simulated operations and assistant diagnosis. The technique can realize the real time interaction quantitative measurement of three-dimensional CT image.

Evaluation of the mitral valve by transthoracic real-time three-dimensional echocardiography

2010 ◽  
Vol 151 (21) ◽  
pp. 854-863 ◽  
Author(s):  
Attila Nemes ◽  
Marcel L. Geleijnse ◽  
Osama I. I. Soliman ◽  
Wim B. Vletter ◽  
Jackie S. McGhie ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Real Time ◽  
Three Dimensional ◽  
Dimensional Echocardiography ◽  
Three Dimensional Echocardiography

Jelenleg az echokardiográfia a legszéleskörűbben alkalmazott rutin noninvazív diagnosztikus eljárás, amelynek segítségével a mitralis billentyű morfológiája és funkciója jellemezhető. Ennek az összefoglaló jellegű közleménynek a célja az egyik legújabb echokardiográfiás fejlesztés, a transthoracalis real-time háromdimenziós echokardiográfia szerepének bemutatása a mitralis billentyű vizsgálatában.

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