| dc.contributor.author | Remondino, Fabio | en_US |
| dc.contributor.author | Nocerino, Erica | en_US |
| dc.contributor.author | Menna, Fabio | en_US |
| dc.contributor.author | Nex, Francesco | en_US |
| dc.contributor.author | Spera, Maria Grazia | en_US |
| dc.contributor.author | Gonizzi-Barsanti, Sara | en_US |
| dc.contributor.editor | - | en_US |
| dc.date.accessioned | 2015-04-27T14:51:34Z | |
| dc.date.available | 2015-04-27T14:51:34Z | |
| dc.date.issued | 2013 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1109/DigitalHeritage.2013.6743712 | en_US |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1109/DigitalHeritage | |
| dc.description.abstract | 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. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | {Abstracts | en_US |
| dc.subject | Area measurement | en_US |
| dc.subject | Classification algorithms | en_US |
| dc.subject | History | en_US |
| dc.subject | Sensor phenomena and characterization | en_US |
| dc.subject | Technological innovation | en_US |
| dc.subject | 3D | en_US |
| dc.subject | Comparison | en_US |
| dc.subject | Image Matching | en_US |
| dc.subject | Photogrammetry} | en_US |
| dc.title | Dense Image Matching: comparisons and analyses | en_US |
| dc.description.seriesinformation | Digital Heritage International Congress | en_US |
| dc.description.sectionheaders | Track 1, Full Papers | en_US |
| dc.identifier.doi | 10.1109/DigitalHeritage.2013.6743712 | en_US |
