QR code

MaLCA: Point Cloud Registration with Mamba-Enhanced Features and Local Correspondence Augmentation

High-quality correspondences are critical to the accuracy and robustness of point cloud registration. Existing Transformer-based methods are fundamentally constrained by the quadratic computational complexity of self-attention, resulting in limited scalability. Moreover, conventional outlier removal...

Volledige beschrijving

Bewaard in:
Hoofdauteurs: Yuchen Huo, Longyun Zhang, Huijuan Guo, Jingyi Gong, Liqun Kuang, Xie Han, Fengguang Xiong
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2026-05-01
Reeks:Algorithms
Onderwerpen:
point cloud registration
state space model
Mamba
correspondence augmentation
Online toegang:https://www.mdpi.com/1999-4893/19/5/380
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items