March 28, 2024, 4:45 a.m. | Liping Yang, Joshua Driscol, Ming Gong, Shujie Wang, Catherine G. Potts

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.18038v1 Announce Type: new
Abstract: Line detection is a classic and essential problem in image processing, computer vision and machine intelligence. Line detection has many important applications, including image vectorization (e.g., document recognition and art design), indoor mapping, and important societal challenges (e.g., sea ice fracture line extraction from satellite imagery). Many line detection algorithms and methods have been developed, but robust and intuitive methods are still lacking. In this paper, we proposed and implemented a topological graph-guided algorithm, named …

abstract algorithm applications art arxiv challenges computer computer vision cs.cv design detection document graph ice image image processing images intelligence line machine machine intelligence mapping processing recognition robust type vectorization vision

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

Principal Machine Learning Engineer (AI, NLP, LLM, Generative AI)

@ Palo Alto Networks | Santa Clara, CA, United States

Consultant Senior Data Engineer F/H

@ Devoteam | Nantes, France