Basic patterns are the source of a wide range of more or less complex geometric structures. We will exploit such patterns to develop new efficient visual markers. Besides being projective invariants, the proposed markers allow producing rich panel of unique identifiers, highly required for resource-intensive navigation and augmented reality applications. The spiral topology of our markers permits the validation of an accurate identification scheme, which is based on level set methods. The robustness of the markers against acquisition and geometric distortions is validated by extensive experimental tests.

翻译：基本图案是各种复杂几何结构的基础。我们将利用这些图案开发新型高效视觉标记。所提出的标记不仅具有射影不变性，还能生成丰富多样的唯一标识符，这正是对资源密集型的导航和增强现实应用所迫切需要的。标记的螺旋拓扑结构支持基于水平集方法的精确识别方案。通过大量实验测试，验证了这些标记对采集失真和几何畸变的鲁棒性。