首页> 外文会议>IMECE2009;ASME international mechanical engineering congress and exposition >COMPARISON OF CONTOUR BASED AND FEATURE BASED TRACKING METHODS FOR CONTROL OF MICROBIOROBOTS
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COMPARISON OF CONTOUR BASED AND FEATURE BASED TRACKING METHODS FOR CONTROL OF MICROBIOROBOTS

机译:基于轮廓线和基于特征的微机器人控制跟踪方法的比较

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摘要

Miniature robots should be precisely controlled because of a small workspace and size of their shapes. Small error of control could lead to failure of tasks such as an assembly. Tracking is one of the most important techniques because control of a small scale robot is hard to accomplish without object's motion information. In this paper, we compare the feature based and the region based tracking methods with microbiorobot. Invariant features can be extracted using Scale Invariant Feature Transfrom (SIFT) algorithm because microbiorobot is a rigid body unlike a cell. We clearly showed that the feature based tracking method track exact positions of the objects than region based tracking method when objects are close contacted or overlapped. Also, the feature based tracking method allows tracking of objects even though partial object disappears or illumination is changed.
机译:微型机器人的工作空间小,形状小,因此应该受到精确的控制。控制错误小可能导致诸如组装之类的任务失败。跟踪是最重要的技术之一,因为没有对象的运动信息很难完成对小型机器人的控制。在本文中,我们比较了使用微生物机器人的基于特征的跟踪方法和基于区域的跟踪方法。可以使用尺度不变特征转换(SIFT)算法提取不变特征,因为微型机器人是与细胞不同的刚性物体。我们清楚地表明,当对象紧密接触或重叠时,基于特征的跟踪方法比基于区域的跟踪方法可以跟踪对象的精确位置。此外,基于特征的跟踪方法即使部分对象消失或照明发生变化也可以跟踪对象。

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