SuperGF: Unifying Local and Global Features for Visual Localization

no code implementations • 23 Dec 2022 • Wenzheng Song, Ran Yan, Boshu Lei, Takayuki Okatani

In this study, we present a novel method called SuperGF, which effectively unifies local and global features for visual localization, leading to a higher trade-off between localization accuracy and computational efficiency.

Computational Efficiency Image Retrieval +4

Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes

no code implementations • ICCV 2021 • Wenzheng Song, Masanori Suganuma, Xing Liu, Noriyuki Shimobayashi, Daisuke Maruta, Takayuki Okatani

To consider if and how well we can utilize such information stored in RAW-format images for image matching, we have created a new dataset named MID (matching in the dark).