Semiautomatic Registration Between Ground-Level Panoramas and an Orthorectified Aerial Image for Building Modeling
Abstract
Aerial imagery and ground-level imagery are two complementary data sources for architectural modeling. How to integrate them is a critical issue in creating complete, photo-realistic and large-scale urban models. We describe a semiautomatic approach of detecting feature correspondences between ground-level images and the building footprint in an orthorectified aerial image. The ground-level images are stitched into panoramas in order to obtain a wide camera field of view. Line segments are extracted from ground-level images. Their corresponding segments on the building footprints are automatically detected through a voting process. Meanwhile the camera pose of the ground-level images is also obtained. Wrong correspondences are corrected through user interaction. Later, the height values of the building roof corners are computed and a piece-wise planar 3D model with photo-realistic facade and roof texture is then created.
Cite
Text
Wang et al. "Semiautomatic Registration Between Ground-Level Panoramas and an Orthorectified Aerial Image for Building Modeling." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4409213Markdown
[Wang et al. "Semiautomatic Registration Between Ground-Level Panoramas and an Orthorectified Aerial Image for Building Modeling." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/wang2007iccv-semiautomatic/) doi:10.1109/ICCV.2007.4409213BibTeX
@inproceedings{wang2007iccv-semiautomatic,
title = {{Semiautomatic Registration Between Ground-Level Panoramas and an Orthorectified Aerial Image for Building Modeling}},
author = {Wang, Lu and You, Suya and Neumann, Ulrich},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2007},
pages = {1-8},
doi = {10.1109/ICCV.2007.4409213},
url = {https://mlanthology.org/iccv/2007/wang2007iccv-semiautomatic/}
}