April 23, 2024, 4:47 a.m. | Fadi Khatib, Yoni Kasten, Dror Moran, Meirav Galun, Ronen Basri

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.14280v1 Announce Type: new
Abstract: Multiview Structure from Motion is a fundamental and challenging computer vision problem. A recent deep-based approach was proposed utilizing matrix equivariant architectures for the simultaneous recovery of camera pose and 3D scene structure from large image collections. This work however made the unrealistic assumption that the point tracks given as input are clean of outliers. Here we propose an architecture suited to dealing with outliers by adding an inlier/outlier classifying module that respects the model …

abstract architectures arxiv computer computer vision cs.cv fundamental however image matrix recovery robust type vision work

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne