The Experts below are selected from a list of 26940 Experts worldwide ranked by ideXlab platform
Mark A Livingston - One of the best experts on this subject based on the ideXlab platform.
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superior augmented reality registration by integrating landmark Tracking and Magnetic Tracking
International Conference on Computer Graphics and Interactive Techniques, 1996Co-Authors: Andrei State, Gentaro Hirota, David Chen, William F Garrett, Mark A LivingstonAbstract:Accurate registration between real and virtual objects is crucial for augmented reality applications. Existing Tracking methods are individually inadequate: Magnetic trackers are inaccurate, mechanical trackers are cumbersome, and vision-based trackers are computationally problematic. We present a hybrid Tracking method that combines the accuracy of vision-based Tracking with the robustness of Magnetic Tracking without compromising real-time performance or usability. We demonstrate excellent registration in three sample applications. CR
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SIGGRAPH - Superior augmented reality registration by integrating landmark Tracking and Magnetic Tracking
Proceedings of the 23rd annual conference on Computer graphics and interactive techniques - SIGGRAPH '96, 1996Co-Authors: Andrei State, Gentaro Hirota, William F Garrett, David T. Chen, Mark A LivingstonAbstract:Accurate registration between real and virtual objects is crucial for augmented reality applications. Existing Tracking methods are individually inadequate: Magnetic trackers are inaccurate, mechanical trackers are cumbersome, and vision-based trackers are computationally problematic. We present a hybrid Tracking method that combines the accuracy of vision-based Tracking with the robustness of Magnetic Tracking without compromising real-time performance or usability. We demonstrate excellent registration in three sample applications. CR
Andrei State - One of the best experts on this subject based on the ideXlab platform.
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superior augmented reality registration by integrating landmark Tracking and Magnetic Tracking
International Conference on Computer Graphics and Interactive Techniques, 1996Co-Authors: Andrei State, Gentaro Hirota, David Chen, William F Garrett, Mark A LivingstonAbstract:Accurate registration between real and virtual objects is crucial for augmented reality applications. Existing Tracking methods are individually inadequate: Magnetic trackers are inaccurate, mechanical trackers are cumbersome, and vision-based trackers are computationally problematic. We present a hybrid Tracking method that combines the accuracy of vision-based Tracking with the robustness of Magnetic Tracking without compromising real-time performance or usability. We demonstrate excellent registration in three sample applications. CR
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SIGGRAPH - Superior augmented reality registration by integrating landmark Tracking and Magnetic Tracking
Proceedings of the 23rd annual conference on Computer graphics and interactive techniques - SIGGRAPH '96, 1996Co-Authors: Andrei State, Gentaro Hirota, William F Garrett, David T. Chen, Mark A LivingstonAbstract:Accurate registration between real and virtual objects is crucial for augmented reality applications. Existing Tracking methods are individually inadequate: Magnetic trackers are inaccurate, mechanical trackers are cumbersome, and vision-based trackers are computationally problematic. We present a hybrid Tracking method that combines the accuracy of vision-based Tracking with the robustness of Magnetic Tracking without compromising real-time performance or usability. We demonstrate excellent registration in three sample applications. CR
Dayuan Yan - One of the best experts on this subject based on the ideXlab platform.
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Improvements to Magnetic Tracking system for virtual reality
ICO20: Biomedical Optics, 2006Co-Authors: Yue Liu, Yongtian Wang, Dayuan YanAbstract:Magnetic Tracking system is widely used in a Virtual or Augmented Reality system to track the orientation and position of an object in space. When being applied in medical applications such as surgical navigation or medical image registration, accurate 6 DOF (Degree-of-Freedom) Tracking is especially important. In order to compensate the influence of metal object and Magnetic fields in the surrounding environments on the accuracy of the measurements, an AC Magnetic Tracking system whose orientation is obtained with the output of 3-axis orthogonal Magnetic sensors and 2-axis accelerometers is designed. On the basis of analyzing the influence of environmental Magnetic fields on the measurement accuracy of heading, a compensation algorithm is presented, which fits the outputs of the Magnetic sensors to an ellipse with the principle of least square and rotation invariant and calibrates the heading with the parameters of the ellipse to rotate and scale the measurement results. Compared with the existing approach, the proposed method can effectively compensate the influence of environmental interference when the Magnetic Tracking system moves in horizontal plane and can also be applied in the applications with continuous movements. Experimental results show that the proposed method can effectively compensate environmental interference and improve the Tracking accuracy.
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VECIMS - DPSD algorithm for AC Magnetic Tracking system
2004 IEEE Symposium on Virtual Environments Human-Computer Interfaces and Measurement Systems 2004. (VCIMS)., 1Co-Authors: Yue Liu, Yongtian Wang, Dayuan Yan, Ya ZhouAbstract:6 DOF (degree-of-freedom) Tracking system is one of the key device to realize the sense of immersion and human computer interaction in a VR or AR (Virtual or Augmented Reality) system. This paper presents the design of an AC Magnetic Tracking system and a DPSD (digital phase sensitive detector) algorithm to extract the received signals. The proposed Magnetic Tracking system is composed of 3-axis orthogonal Magnetic sensor, 3-axis orthogonal Magnetic transmitter, 2-axis accelerometers, data acquisition and processing system etc. After obtaining the orientation of the receiver by measuring the Earth Magnetic and gravity field with the DC output of Magnetic sensors and accelerometers, the position of the receiver can be calculated from the received AC Magnetic field generated by the Magnetic transmitter. The performance of the existing DPSD algorithm when being used to extract the received AM (amplitude modulation) signals is studied and a new DPSD algorithm as well as its performance are presented. Experimental results show that the proposed algorithm can be used to measure the AM signal embedded in background noise and the feasibility of its application in the AC Magnetic Tracking system.
Max Q-h Meng - One of the best experts on this subject based on the ideXlab platform.
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An Optically Aided Magnetic Tracking Approach for Magnetically Actuated Capsule Robot
IEEE Transactions on Instrumentation and Measurement, 2021Co-Authors: Qinyuan Shi, Shuang Song, Tangyou Liu, Jiaole Wang, Max Q-h MengAbstract:Embedded with an internal permanent magnet (IPM), a Magnetically actuated capsule (MAC) robot can be controlled inside gastrointestinal (GI) tract by an external permanent magnet (EPM) outside of human body. Locomotion control of MAC robot can be achieved based on precise pose feedback that is usually carried out by Magnetic Tracking. However, the coupling of internal and external Magnetic fields will deteriorate the accuracy. To solve this problem, we propose a novel optical-Magnetic fusion Tracking framework in this article, which can be applied to track the MAC robot in real time. The proposed method utilizes the prior-known pose of EPM estimated from the optical Tracking method to decouple IPM’s Magnetic field from the composite Magnetic field to achieve higher Tracking accuracy of wireless capsule endoscopy (WCE). Moreover, Magnetic field methods have been analyzed to validate the accuracy of theoretical description of Magnetic field. The proposed strategy is validated by both static and dynamic experiments. The average position and orientation errors are 2.6 mm and 1.54°, respectively.
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IROS - Preliminary study on Magnetic Tracking based navigation for wire-driven flexible robot
2017 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2017Co-Authors: Changchun Zhang, Shuang Song, Xiaoxiao Qiu, Li Liu, Max Q-h MengAbstract:Flexible manipulator enables curvilinear accessibility through small incisions or natural orifices for minimally invasive surgery and diagnosis, which makes it a good choice for minimally invasive surgery. In order to control the robot precisely and safely, the real-time position and shape information of the robot need to be measured well. In this paper, we propose a Magnetic Tracking based tip pose and shape detection method for wire driven flexible robots. A permanent magnet is mounted at the distal end of the robot. Its Magnetic field can be sensed with a sensor array. Therefore, position and orientation of the tip can be estimated utilizing the Tracking method. A shape sensing algorithm is then carried out to estimate the real-time shape based on the tip pose. With the tip pose and shape display in the reconstructed visual environment, navigation can be achieved. This method provides the advantages that no sensors are needed to mount on the robot and has no line-of-sight problem. Experimental results verified the feasibility of the proposed method. A navigation error of 1.9mm is achieved.
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ICIA - Shape Tracking and navigation for continuum surgical robot based on Magnetic Tracking
2017 IEEE International Conference on Information and Automation (ICIA), 2017Co-Authors: Changchun Zhang, Shuang Song, Max Q-h MengAbstract:Wire-driven flexible robot can work in confined and complex environments, so that it has been studied for minimally invasive surgery. On account of guarantee the accuracy and effectiveness of the robot, the real-time tip pose and shape information of the robot should be measured. In this paper, a tip pose and shape detection method based on Magnetic Tracking for the wire-driven flexible robot is presented. This method makes use of the magnetism of a permanent magnet that mounted on the terminal of the robot to obtain the tip pose. On the basis of the tip pose, a shape reconstruction algorithm based on the three order Bezier curve is used to estimate the real-time shape of the robot. In accordance with the tip position and the mapped environment, the navigation of the robot still can be achieved without the need for sensors in the absence of the line of sight environment. To evaluate the feasibility, a experiment has been carried out and a navigation error is about 1.1mm.
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An Efficient Magnetic Tracking Method Using Uniaxial Sensing Coil
IEEE Transactions on Magnetics, 2014Co-Authors: Shuang Song, Hongliang Ren, Wan Qiao, Max Q-h MengAbstract:We propose an efficient and effective Magnetic Tracking method in this paper. The Tracking method is based on tri-axial transmitting coils and uniaxial sensing of the generated electroMagnetic field. Three mutually orthogonal transmitting coils are excited simultaneously with alternating current (AC) signals of different frequency. At a specific position, the sum of amplitude square of the three different frequency sensing signals will reach maximum when the uniaxial coil points to the tri-axial transmitting coils. The maximum value is reciprocally proportional to the cube of the distance between the transmitter and receiver. By processing the output signals from the uniaxial sensing coil when it is rotating, the direction and distance between the sensing coil and transmitting coils can be decided with an efficient method with low calculation overheads. Experiments were conducted to validate the proposed method.
Gentaro Hirota - One of the best experts on this subject based on the ideXlab platform.
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superior augmented reality registration by integrating landmark Tracking and Magnetic Tracking
International Conference on Computer Graphics and Interactive Techniques, 1996Co-Authors: Andrei State, Gentaro Hirota, David Chen, William F Garrett, Mark A LivingstonAbstract:Accurate registration between real and virtual objects is crucial for augmented reality applications. Existing Tracking methods are individually inadequate: Magnetic trackers are inaccurate, mechanical trackers are cumbersome, and vision-based trackers are computationally problematic. We present a hybrid Tracking method that combines the accuracy of vision-based Tracking with the robustness of Magnetic Tracking without compromising real-time performance or usability. We demonstrate excellent registration in three sample applications. CR
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SIGGRAPH - Superior augmented reality registration by integrating landmark Tracking and Magnetic Tracking
Proceedings of the 23rd annual conference on Computer graphics and interactive techniques - SIGGRAPH '96, 1996Co-Authors: Andrei State, Gentaro Hirota, William F Garrett, David T. Chen, Mark A LivingstonAbstract:Accurate registration between real and virtual objects is crucial for augmented reality applications. Existing Tracking methods are individually inadequate: Magnetic trackers are inaccurate, mechanical trackers are cumbersome, and vision-based trackers are computationally problematic. We present a hybrid Tracking method that combines the accuracy of vision-based Tracking with the robustness of Magnetic Tracking without compromising real-time performance or usability. We demonstrate excellent registration in three sample applications. CR