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Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching

机译:上下文视觉本地化:级联子图分类,优化的显着性检测和快速视图匹配

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In this paper, we present a novel coarse-to-fine visual localization approach: contextual visual localization. This approach relies on three elements: (i) a minimal-complexity classifier for performing fast coarse localization (submap classification); (ii
机译:在本文中,我们提出了一种新颖的从粗到细的视觉本地化方法:上下文视觉本地化。该方法依赖于三个要素:(i)用于执行快速粗略定位(子图分类)的最小复杂度分类器; (ii

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