@inproceedings{61bc22a48232401fbeab39a5b1949726,
title = "6-DoF Pose Estimation and CAD Model Retrieval for XR Interface from a Single RGB Image",
abstract = "This paper proposes a 6-DoF pose estimation and CAD model retrieval for XR interface from a single RGB image. A deep learning network is used to estimate the 6-DoF pose of a real object in an RGB image. Then, several CAD model candidates are rendered and their similarity with the image is measured to decide the final matching CAD model. In the last, the rendered image of the matching CAD model is overlayed with the RGB image. In the experiment, total ten object categories are tested and evaluated using two deep networks.",
keywords = "AR/XR, deep learning, pose estimation, similarity measure",
author = "Sieun Park and Wonje Jeong and Park, \{Soon Yong\}",
note = "Publisher Copyright: {\textcopyright} 2024 Owner/Author.; 2024 International Conference on Advanced Visual Interfaces, AVI 2024 ; Conference date: 03-06-2024 Through 07-06-2024",
year = "2024",
month = jun,
day = "3",
doi = "10.1145/3656650.3656719",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the 2024 International Conference on Advanced Visual Interfaces, AVI 2024",
}