-
A System Framework for Localization and Mapping using High Resolution Cameras of Mobile Devices
AbstractWe propose a hierarchical framework for processing high-resolution images on mobile devices for visual SLAM. It is based on the insights from analysis of new progress in primary features' detection, object detection and pose estimation. A rectification/unwarping operation is applied in regions of interest (ROIs) to improve the object/parts classification/detection performance; the object-part spatial relationships are created and contribute in map building, object detection, and localization; and a geometric constraints based pose refinement is followed to further improve the localization accuracy. Our design facilitates the more accurate pose estimating and localization using mobile devices for SLAM, and Augmented Reality/Mixed Reality applications.
Related Material
[pdf][bibtex]@InProceedings{Liu_2019_ICCV,
author = {Liu, Lifeng and Li, Jian},
title = {A System Framework for Localization and Mapping using High Resolution Cameras of Mobile Devices},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
These ICCV 2019 papers are the Open Access versions, provided by the Computer Vision Foundation.
Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore.
Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore.
This material is presented to ensure timely dissemination of scholarly and technical work.
Copyright and all rights therein are retained by authors or by other copyright holders.
All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.