Dense Image Matching: comparisons and analyses
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2013Pay-Per-View via TIB Hannover:
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The paper presents a critical review and analysis of dense image matching algorithms. The analyzed algorithms stay in the commercial as well open-source domains. The employed datasets include scenes pictured in terrestrial and aerial blocks, acquired with convergent and parallel-axis images and different scales. Geometric analyses are reported, comparing the dense point clouds with ground truth data.
BibTeX
@inproceedings {10.1109:DigitalHeritage.2013.6743712,
booktitle = {Digital Heritage International Congress},
editor = {-},
title = {{Dense Image Matching: comparisons and analyses}},
author = {Remondino, Fabio and Nocerino, Erica and Menna, Fabio and Nex, Francesco and Spera, Maria Grazia and Gonizzi-Barsanti, Sara},
year = {2013},
publisher = {The Eurographics Association},
DOI = {10.1109/DigitalHeritage.2013.6743712}
}
booktitle = {Digital Heritage International Congress},
editor = {-},
title = {{Dense Image Matching: comparisons and analyses}},
author = {Remondino, Fabio and Nocerino, Erica and Menna, Fabio and Nex, Francesco and Spera, Maria Grazia and Gonizzi-Barsanti, Sara},
year = {2013},
publisher = {The Eurographics Association},
DOI = {10.1109/DigitalHeritage.2013.6743712}
}
URI
http://dx.doi.org/10.1109/DigitalHeritage.2013.6743712https://diglib.eg.org:443/handle/10.1109/DigitalHeritage