all AI news
Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
April 2, 2024, 7:48 p.m. | Tianyu Huang, Liangzu Peng, Ren\'e Vidal, Yun-Hui Liu
cs.CV updates on arXiv.org arxiv.org
Abstract: Given an input set of $3$D point pairs, the goal of outlier-robust $3$D registration is to compute some rotation and translation that align as many point pairs as possible. This is an important problem in computer vision, for which many highly accurate approaches have been recently proposed. Despite their impressive performance, these approaches lack scalability, often overflowing the $16$GB of memory of a standard laptop to handle roughly $30,000$ point pairs. In this paper, we …
abstract arxiv compute computer computer vision cs.cv cs.ro outlier registration robust rotation scalable set translation type via vision wise
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
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
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Data Analyst
@ Alstom | Johannesburg, GT, ZA