Detection and Identification Techniques for Markers Used in Computer Vision
Detection and Identification Techniques for Markers Used in Computer Vision
复制标题
计算机视觉中使用的标记检测和识别技术
DOI：
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发表时间：
2010
期刊：
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通讯作者：
D. Stricker
中科院分区：
文献类型：
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作者：
J. Köhler;A. Pagani;D. Stricker
本文总结和比较了在计算机视觉背景下检测和识别标记的技术。现有的方法使用相关性，数字，或拓扑方法的标记识别。比较指出，所有的标记处理算法，采用复杂的数字代码更强大和可靠。现有的位表示方案，这些代码和标记设计进行了比较。我们在此上下文中说明，为什么[11]中介绍的标记处理算法在标记遮挡和最小可检测图案尺寸方面表现最佳。
This paper summarizes and compares techniques for detecting and identifying markers in the context of computer vision. Existing approaches use correlation, digital, or topological methods for marker identification. The comparison points out that all marker processing algorithms, which employ sophisticated digital codes are more robust and reliable. Existing bit representation schemes for these codes and marker designs are compared with each other. We illustrate in this context, why the marker processing algorithm introduced in [11] is the best performer regarding marker occlusion and minimal detectable pattern size.