Sign inGet started
Paper · arXiv

FS-I2P:A Hierarchical Focus-Sweep Registration Network with Dynamically Allocated Depth

Image-to-point cloud registration is often challenged by viewpoint changes, cross-modal discrepancies, and repetitive textures, which induce scale ambiguity and consequently lead to erroneous correspondences. Recent detection-free methods alleviate this issue by leveraging multi-scale features and transformer-based interactions. However, they still suffer from attention drift across layers and intra-scale inconsistencies, hindering precise registration. Inspired by human behavior, we propose a ``Focus--Sweep'' paradigm and develop a Hierarchical Focus--Sweep Interaction Module within an SSM-based framework to enhance multi-level cross-modal feature association. In addition, we introduce a...

AuthorsZhixin Cheng, Yujia Chen, Xujing Tao et al.
Primary categorycs.CV
Published8 May 2026
Last updated at source25 May 2026
cs.CV
Embed this entry
<iframe src="https://silytics.si/embed/item/9be64910-9b28-466f-bae4-d6c8e871cf09" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.