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.1997.609300

Markdown

[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.1997.609300

BibTeX

@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/}
}