The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform

Zengfu Wang - One of the best experts on this subject based on the ideXlab platform.

  • ICIP - A Simultaneous Method for 3D video super-resolution and high-quality depth estimation
    2013 IEEE International Conference on Image Processing, 2013
    Co-Authors: Jing Zhang, Zengfu Wang
    Abstract:

    Mixed-resolution approach serves as a feasible solution to 3D video data reduction in limited bandwidth network environments, i.e., mobile networks. In this paper, we propose a Simultaneous Method for video super-resolution and high-quality depth estimation of mixed-resolution 3D video. Our Method tackles the problem in a joint manner: i). Depth Estimation. We calculate the initial depths by stereo matching, and then warp them according to the optical flow field. ii). Video Super-resolution. Under the guidance of the warped depth information, we resolve the super-resolution problem by a fusion Method, which involves a mapping step and a nonlocal reconstruction step. We run the above two steps iteratively until obtaining the stable depth and super-resolution result. The experimental results on public 3D video sequences verify the effectiveness of our proposed Method.

  • A Simultaneous Method for 3D video super-resolution and high-quality depth estimation
    2013 IEEE International Conference on Image Processing, 2013
    Co-Authors: Jing Zhang, Zengfu Wang
    Abstract:

    Mixed-resolution approach serves as a feasible solution to 3D video data reduction in limited bandwidth network environments, i.e., mobile networks. In this paper, we propose a Simultaneous Method for video super-resolution and high-quality depth estimation of mixed-resolution 3D video. Our Method tackles the problem in a joint manner: i). Depth Estimation. We calculate the initial depths by stereo matching, and then warp them according to the optical flow field. ii). Video Super-resolution. Under the guidance of the warped depth information, we resolve the super-resolution problem by a fusion Method, which involves a mapping step and a nonlocal reconstruction step. We run the above two steps iteratively until obtaining the stable depth and super-resolution result. The experimental results on public 3D video sequences verify the effectiveness of our proposed Method.

Max Q.-h. Meng - One of the best experts on this subject based on the ideXlab platform.

  • IROS - Towards Simultaneous coordinate calibrations for cooperative multiple robots
    2014 IEEE RSJ International Conference on Intelligent Robots and Systems, 2014
    Co-Authors: Jiaole Wang, Liao Wu, Max Q.-h. Meng
    Abstract:

    Tasks that are too hard for single robot can be easily carried out by multiple robots in a cooperative manner. If some/all robots have mobile bases, the cooperation is subjected to great uncertainties in both the robotic system and environment. Therefore, the relationships among all the base frames (robot-robot calibration) and the relationships between the end-effectors and the other devices such as cameras and tools (hand-eye and tool-flange calibrations) have to be calculated to enable the robots to cooperate. To address these challenges, in this paper, we propose a Simultaneous hand-eye, tool-flange and robot-robot calibration Method. Thorough simulations are conducted to show the superiority of the proposed Simultaneous Method under different noise levels and various numbers of robot movements. Furthermore, the comparison to two non-Simultaneous calibration Methods has also been carried out to show the efficiency and robustness of the proposed Simultaneous Method.

  • Towards Simultaneous coordinate calibrations for cooperative multiple robots
    2014 IEEE RSJ International Conference on Intelligent Robots and Systems, 2014
    Co-Authors: Jiaole Wang, Liao Wu, Max Q.-h. Meng
    Abstract:

    Tasks that are too hard for single robot can be easily carried out by multiple robots in a cooperative manner. If some/all robots have mobile bases, the cooperation is subjected to great uncertainties in both the robotic system and environment. Therefore, the relationships among all the base frames (robot-robot calibration) and the relationships between the end-effectors and the other devices such as cameras and tools (hand-eye and tool-flange calibrations) have to be calculated to enable the robots to cooperate. To address these challenges, in this paper, we propose a Simultaneous hand-eye, tool-flange and robot-robot calibration Method. Thorough simulations are conducted to show the superiority of the proposed Simultaneous Method under different noise levels and various numbers of robot movements. Furthermore, the comparison to two non-Simultaneous calibration Methods has also been carried out to show the efficiency and robustness of the proposed Simultaneous Method.

Jing Zhang - One of the best experts on this subject based on the ideXlab platform.

  • ICIP - A Simultaneous Method for 3D video super-resolution and high-quality depth estimation
    2013 IEEE International Conference on Image Processing, 2013
    Co-Authors: Jing Zhang, Zengfu Wang
    Abstract:

    Mixed-resolution approach serves as a feasible solution to 3D video data reduction in limited bandwidth network environments, i.e., mobile networks. In this paper, we propose a Simultaneous Method for video super-resolution and high-quality depth estimation of mixed-resolution 3D video. Our Method tackles the problem in a joint manner: i). Depth Estimation. We calculate the initial depths by stereo matching, and then warp them according to the optical flow field. ii). Video Super-resolution. Under the guidance of the warped depth information, we resolve the super-resolution problem by a fusion Method, which involves a mapping step and a nonlocal reconstruction step. We run the above two steps iteratively until obtaining the stable depth and super-resolution result. The experimental results on public 3D video sequences verify the effectiveness of our proposed Method.

  • A Simultaneous Method for 3D video super-resolution and high-quality depth estimation
    2013 IEEE International Conference on Image Processing, 2013
    Co-Authors: Jing Zhang, Zengfu Wang
    Abstract:

    Mixed-resolution approach serves as a feasible solution to 3D video data reduction in limited bandwidth network environments, i.e., mobile networks. In this paper, we propose a Simultaneous Method for video super-resolution and high-quality depth estimation of mixed-resolution 3D video. Our Method tackles the problem in a joint manner: i). Depth Estimation. We calculate the initial depths by stereo matching, and then warp them according to the optical flow field. ii). Video Super-resolution. Under the guidance of the warped depth information, we resolve the super-resolution problem by a fusion Method, which involves a mapping step and a nonlocal reconstruction step. We run the above two steps iteratively until obtaining the stable depth and super-resolution result. The experimental results on public 3D video sequences verify the effectiveness of our proposed Method.

Jiaole Wang - One of the best experts on this subject based on the ideXlab platform.

  • IROS - Towards Simultaneous coordinate calibrations for cooperative multiple robots
    2014 IEEE RSJ International Conference on Intelligent Robots and Systems, 2014
    Co-Authors: Jiaole Wang, Liao Wu, Max Q.-h. Meng
    Abstract:

    Tasks that are too hard for single robot can be easily carried out by multiple robots in a cooperative manner. If some/all robots have mobile bases, the cooperation is subjected to great uncertainties in both the robotic system and environment. Therefore, the relationships among all the base frames (robot-robot calibration) and the relationships between the end-effectors and the other devices such as cameras and tools (hand-eye and tool-flange calibrations) have to be calculated to enable the robots to cooperate. To address these challenges, in this paper, we propose a Simultaneous hand-eye, tool-flange and robot-robot calibration Method. Thorough simulations are conducted to show the superiority of the proposed Simultaneous Method under different noise levels and various numbers of robot movements. Furthermore, the comparison to two non-Simultaneous calibration Methods has also been carried out to show the efficiency and robustness of the proposed Simultaneous Method.

  • Towards Simultaneous coordinate calibrations for cooperative multiple robots
    2014 IEEE RSJ International Conference on Intelligent Robots and Systems, 2014
    Co-Authors: Jiaole Wang, Liao Wu, Max Q.-h. Meng
    Abstract:

    Tasks that are too hard for single robot can be easily carried out by multiple robots in a cooperative manner. If some/all robots have mobile bases, the cooperation is subjected to great uncertainties in both the robotic system and environment. Therefore, the relationships among all the base frames (robot-robot calibration) and the relationships between the end-effectors and the other devices such as cameras and tools (hand-eye and tool-flange calibrations) have to be calculated to enable the robots to cooperate. To address these challenges, in this paper, we propose a Simultaneous hand-eye, tool-flange and robot-robot calibration Method. Thorough simulations are conducted to show the superiority of the proposed Simultaneous Method under different noise levels and various numbers of robot movements. Furthermore, the comparison to two non-Simultaneous calibration Methods has also been carried out to show the efficiency and robustness of the proposed Simultaneous Method.

C. La-orpacharapan - One of the best experts on this subject based on the ideXlab platform.

  • Fast and robust control of systems with multiple flexible modes
    IEEE ASME Transactions on Mechatronics, 2005
    Co-Authors: C. La-orpacharapan
    Abstract:

    This paper derives shaped time-optimal servomechanism (STOS) closed-loop control laws using a phase-plane approach to address flexible structures having multiple flexible modes. The STOS control laws for systems having two and three flexible modes are detailed. The flexible modes are addressed by using multimode input shapers to shape the time-optimal control for the rigid body portion of the system. The altered rigid body phase-plane trajectories resulting from this shaping are solved and used to determine an STOS closed-loop controller. Both "convolution" and "Simultaneous" Method multimode input shapers are considered. We also improve the robustness to modeling errors of the STOS control. The more robust zero vibration and derivative (ZVD) shaper is used. The ZVD shaper consists of more impulses and has a longer time duration than the simpler zero vibration (ZV) shaper which leads to the more robust STOS (RSTOS) control derived from the ZVD shaper having more switches and longer time response than the STOS control derived from the ZV shaper. Simulation results show that using the ZVD shaper in deriving the RSTOS control improves the robustness to modeling errors in frequency and damping of the flexible mode.

  • Nonlinear control for maneuvering multiple flexible mode systems
    Proceedings of the 2004 American Control Conference, 2004
    Co-Authors: C. La-orpacharapan
    Abstract:

    This paper derives closed-loop control laws using a phase-plane approach for flexible structures having two flexible modes. The flexible modes are addressed by using multi-mode input shapers to shape the time-optimal control for the rigid body portion of the system, and then the altered rigid body phase-plane trajectories resulting from this shaping are solved and used to determine a closed-loop controller. Both "convolution" and "Simultaneous" Method multi-mode input shapers are considered. Simulations show that the derived control laws applied to a disk drive system yield near time-optimal performance without unwanted residual vibrations.