Center for Artificial Intelligence and Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
PLoS One. 2019 Jan 3;14(1):e0207191. doi: 10.1371/journal.pone.0207191. eCollection 2019.
Mobile Augmented Reality (MAR) requires a descriptor that is robust to changes in viewing conditions in real time application. Many different descriptors had been proposed in the literature for example floating-point descriptors (SIFT and SURF) and binary descriptors (BRIEF, ORB, BRISK and FREAK). According to literature, floating-point descriptors are not suitable for real-time application because its operating speed does not satisfy real-time constraints. Binary descriptors have been developed with compact sizes and lower computation requirements. However, it is unclear which binary descriptors are more appropriate for MAR. Hence, a distinctive and efficient accuracy measurement of four state-of-the-art binary descriptors, namely, BRIEF, ORB, BRISK and FREAK were performed using the Mikolajczyk dataset and ALOI dataset to identify the most appropriate descriptor for MAR in terms of computation time and robustness to brightness, scale and rotation changes. The obtained results showed that FREAK is the most appropriate descriptor for MAR application as it able to produce an application that are efficient (shortest computation time) and robust towards scale, rotation and brightness changes.
移动增强现实 (MAR) 需要一个在实时应用中对观察条件变化具有鲁棒性的描述符。文献中已经提出了许多不同的描述符，例如浮点描述符 (SIFT 和 SURF) 和二进制描述符 (BRIEF、ORB、BRISK 和 FREAK)。根据文献，浮点描述符不适合实时应用，因为其运行速度不能满足实时约束。二进制描述符具有紧凑的尺寸和较低的计算要求。然而，目前还不清楚哪种二进制描述符更适合 MAR。因此，使用 Mikolajczyk 数据集和 ALOI 数据集对四种最先进的二进制描述符，即 BRIEF、ORB、BRISK 和 FREAK，进行了独特而有效的准确性测量，以确定在计算时间和对亮度、比例和旋转变化的鲁棒性方面最适合 MAR 的描述符。结果表明，FREAK 是最适合 MAR 应用的描述符，因为它能够生成高效（最短计算时间）且对比例、旋转和亮度变化具有鲁棒性的应用程序。
