Feb. 29, 2024, 5:45 a.m. | Bing Li, Dong Zhang, Cheng Huang, Yun Xian, Ming Li, Dah-Jye Lee

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.18320v1 Announce Type: new
Abstract: Camera with a fisheye or ultra-wide lens covers a wide field of view that cannot be modeled by the perspective projection. Serious fisheye \textcolor{blue}{lens} distortion in the peripheral region of the image leads to degraded performance of the \textcolor{blue}{existing} head pose estimation models trained on undistorted images. This paper presents a new approach for head pose estimation that uses the knowledge of head location in the image to reduce the negative effect of fisheye distortion. …

abstract arxiv cs.ai cs.cv head image images leads location performance perspective projection type view

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

RL Analytics - Content, Data Science Manager

@ Meta | Burlingame, CA

Research Engineer

@ BASF | Houston, TX, US, 77079