This paper addresses a sensor-based simultaneous localization and mapping （SLAM） algorithm for camera tracking in a virtual studio environment. The traditional camera tracking methods in virtual studios are vision-b...This paper addresses a sensor-based simultaneous localization and mapping （SLAM） algorithm for camera tracking in a virtual studio environment. The traditional camera tracking methods in virtual studios are vision-based or sensor-based. However, the chroma keying process in virtual studios requires color cues, such as blue background, to segment foreground objects to be inserted into images and videos. Chroma keying limits the application of vision-based tracking methods in virtual studios since the background cannot provide enough feature information. Furthermore, the conventional sensor-based tracking approaches suffer from the jitter, drift or expensive computation due to the characteristics of individual sensor system. Therefore, the SLAM techniques from the mobile robot area are first investigated and adapted to the camera tracking area. Then, a sensor-based SLAM extension algorithm for two dimensional （2D） camera tracking in virtual studio is described. Also, a technique called map adjustment is proposed to increase the accuracy＇ and efficiency of the algorithm. The feasibility and robustness of the algorithm is shown by experiments. The simulation results demonstrate that the sensor-based SLAM algorithm can satisfy the fundamental 2D camera tracking requirement in virtual studio environment.展开更多
综合以配电网网络损耗最低、可靠性最高为目标函数,以配电网的运行满足电力连续供应为约束,运用改进遗传算法及模拟退火算法进行网络重构,提出了基于原始网络的初始种群选取以及在自适应遗传算法之中加入模拟退火的策略,克服了现有遗传...综合以配电网网络损耗最低、可靠性最高为目标函数,以配电网的运行满足电力连续供应为约束,运用改进遗传算法及模拟退火算法进行网络重构,提出了基于原始网络的初始种群选取以及在自适应遗传算法之中加入模拟退火的策略,克服了现有遗传算法在配电网重构中应用时产生大量不可行解的不足。通过IEEE典型算例RBTS Bus 4系统的验算,结果表明所提算法的有效性。展开更多
文摘This paper addresses a sensor-based simultaneous localization and mapping （SLAM） algorithm for camera tracking in a virtual studio environment. The traditional camera tracking methods in virtual studios are vision-based or sensor-based. However, the chroma keying process in virtual studios requires color cues, such as blue background, to segment foreground objects to be inserted into images and videos. Chroma keying limits the application of vision-based tracking methods in virtual studios since the background cannot provide enough feature information. Furthermore, the conventional sensor-based tracking approaches suffer from the jitter, drift or expensive computation due to the characteristics of individual sensor system. Therefore, the SLAM techniques from the mobile robot area are first investigated and adapted to the camera tracking area. Then, a sensor-based SLAM extension algorithm for two dimensional （2D） camera tracking in virtual studio is described. Also, a technique called map adjustment is proposed to increase the accuracy＇ and efficiency of the algorithm. The feasibility and robustness of the algorithm is shown by experiments. The simulation results demonstrate that the sensor-based SLAM algorithm can satisfy the fundamental 2D camera tracking requirement in virtual studio environment.
文摘综合以配电网网络损耗最低、可靠性最高为目标函数,以配电网的运行满足电力连续供应为约束,运用改进遗传算法及模拟退火算法进行网络重构,提出了基于原始网络的初始种群选取以及在自适应遗传算法之中加入模拟退火的策略,克服了现有遗传算法在配电网重构中应用时产生大量不可行解的不足。通过IEEE典型算例RBTS Bus 4系统的验算,结果表明所提算法的有效性。
