Abstract
In this paper we propose an approach to embed continuous and selector cues in binary feature descriptors used for visual place recognition. The embedding is achieved by extending each feature descriptor with a binary string that encodes a cue and supports the Hamming distance metric. Augmenting the descriptors in such a way has the advantage of being transparent to the procedure used to compare them. We present two concrete applications of our methodology, demonstrating the two considered types of cues. In addition to that, we conducted on these applications a broad quantitative and comparative evaluation covering five benchmark datasets and several state-of-the-art image retrieval approaches in combination with various binary descriptor types.
Abstract (translated)
在本文中，我们提出了一种在用于视觉位置识别的二进制特征描述符中嵌入连续和选择器提示的方法。嵌入是通过使用二进制字符串扩展每个特征描述符来实现的，该二进制字符串对提示进行编码并支持汉明距离度量。以这种方式扩充描述符具有对用于比较它们的过程透明的优点。我们提出了我们方法的两个具体应用，展示了两种被认为是类型的线索。除此之外，我们还对这些应用程序进行了广泛的定量和比较评估，涵盖了五个基准数据集和几种最先进的图像检索方法以及各种二进制描述符类型。
URL
https://arxiv.org/abs/1809.06690
