AI RESEARCH
Scene Representation using 360{\deg} Saliency Graph and its Application in Vision-based Indoor Navigation
arXiv CS.CV
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ArXi:2603.20353v1 Announce Type: new A Scene, represented visually using different formats such as RGB-D, LiDAR scan, keypoints, rectangular, spherical, multi-views, etc., contains information implicitly embedded relevant to applications such as scene indexing, vision-based navigation. Thus, these representations may not be efficient for such applications. This paper proposes a novel 360{\deg} saliency graph representation of the scenes.