ML Anthology

A Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms

Anke Bellmann, Olaf Hellwich, Volker Rodehorst, Ulas Yilmaz
CVPR 2007
doi:10.1109/CVPR.2007.383349 /cvpr/2007/bellmann2007cvpr-benchmarking/

Abstract

Numerous techniques were invented in computer vision and photogrammetry to obtain spatial information from digital images. We intend to describe and improve the performance of these vision techniques by providing test objectives, data, metrics and test protocols. In this paper we propose a comprehensive benchmarking dataset for evaluating a variety of automatic surface reconstruction algorithms (shape-from-X) and a methodology for comparing their results.

PDF CVPR Semantic Scholar

Cite

Text

Bellmann et al. "A Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383349

Markdown

[Bellmann et al. "A Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/bellmann2007cvpr-benchmarking/) doi:10.1109/CVPR.2007.383349

BibTeX

@inproceedings{bellmann2007cvpr-benchmarking,
  title     = {{A Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms}},
  author    = {Bellmann, Anke and Hellwich, Olaf and Rodehorst, Volker and Yilmaz, Ulas},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383349},
  url       = {https://mlanthology.org/cvpr/2007/bellmann2007cvpr-benchmarking/}
}