Automated Model Acquisition from Range Images with View Planning
Abstract
We present an incremental system that builds accurate CAD models of objects from multiple range images. Using a hybrid of surface mesh and volumetric representations, the system creates a "water-tight" 3D model at each step of the modeling process, allowing reasonable models to be built from a small number of views. We also present a method that can be used to plan the next view and reduce the number of scans needed to recover the object. Results are presented for the creation of 3D models of a computer game controller, a hip joint prosthesis, and a mechanical strut.
Cite
Text
Reed et al. "Automated Model Acquisition from Range Images with View Planning." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609300Markdown
[Reed et al. "Automated Model Acquisition from Range Images with View Planning." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/reed1997cvpr-automated/) doi:10.1109/CVPR.1997.609300BibTeX
@inproceedings{reed1997cvpr-automated,
title = {{Automated Model Acquisition from Range Images with View Planning}},
author = {Reed, Michael K. and Allen, Peter K. and Stamos, Ioannis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1997},
pages = {72-77},
doi = {10.1109/CVPR.1997.609300},
url = {https://mlanthology.org/cvpr/1997/reed1997cvpr-automated/}
}