Evaluation of feature-based methods for automated network orientation
Every day new tools and algorithms for automated image processing and 3D reconstruction purposes become available, giving the possibility to process large networks of unoriented and markerless images, delivering sparse 3D point clouds at reasonable processing time. In this paper we evaluate some f...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2014-06-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5/47/2014/isprsarchives-XL-5-47-2014.pdf |
| _version_ | 1818232024381521920 |
|---|---|
| author | F. I. Apollonio A. Ballabeni M. Gaiani F. Remondino |
| author_facet | F. I. Apollonio A. Ballabeni M. Gaiani F. Remondino |
| author_sort | F. I. Apollonio |
| collection | DOAJ |
| description | Every day new tools and algorithms for automated image processing and 3D reconstruction purposes become available, giving the
possibility to process large networks of unoriented and markerless images, delivering sparse 3D point clouds at reasonable
processing time. In this paper we evaluate some feature-based methods used to automatically extract the tie points necessary for
calibration and orientation procedures, in order to better understand their performances for 3D reconstruction purposes. The
performed tests – based on the analysis of the SIFT algorithm and its most used variants – processed some datasets and analysed
various interesting parameters and outcomes (e.g. number of oriented cameras, average rays per 3D points, average intersection
angles per 3D points, theoretical precision of the computed 3D object coordinates, etc.). |
| first_indexed | 2024-12-12T10:59:42Z |
| format | Article |
| id | doaj.art-9038daaaf0484db19fadcef05d1d6d56 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-12T10:59:42Z |
| publishDate | 2014-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-9038daaaf0484db19fadcef05d1d6d562022-12-22T00:26:35ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342014-06-01XL-5475410.5194/isprsarchives-XL-5-47-2014Evaluation of feature-based methods for automated network orientationF. I. Apollonio0A. Ballabeni1M. Gaiani2F. Remondino3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, ItalyD Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, ItalyD Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, ItalyDept. of Architecture – University of Bologna, ItalyEvery day new tools and algorithms for automated image processing and 3D reconstruction purposes become available, giving the possibility to process large networks of unoriented and markerless images, delivering sparse 3D point clouds at reasonable processing time. In this paper we evaluate some feature-based methods used to automatically extract the tie points necessary for calibration and orientation procedures, in order to better understand their performances for 3D reconstruction purposes. The performed tests – based on the analysis of the SIFT algorithm and its most used variants – processed some datasets and analysed various interesting parameters and outcomes (e.g. number of oriented cameras, average rays per 3D points, average intersection angles per 3D points, theoretical precision of the computed 3D object coordinates, etc.).https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5/47/2014/isprsarchives-XL-5-47-2014.pdf |
| spellingShingle | F. I. Apollonio A. Ballabeni M. Gaiani F. Remondino Evaluation of feature-based methods for automated network orientation The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Evaluation of feature-based methods for automated network orientation |
| title_full | Evaluation of feature-based methods for automated network orientation |
| title_fullStr | Evaluation of feature-based methods for automated network orientation |
| title_full_unstemmed | Evaluation of feature-based methods for automated network orientation |
| title_short | Evaluation of feature-based methods for automated network orientation |
| title_sort | evaluation of feature based methods for automated network orientation |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5/47/2014/isprsarchives-XL-5-47-2014.pdf |
| work_keys_str_mv | AT fiapollonio evaluationoffeaturebasedmethodsforautomatednetworkorientation AT aballabeni evaluationoffeaturebasedmethodsforautomatednetworkorientation AT mgaiani evaluationoffeaturebasedmethodsforautomatednetworkorientation AT fremondino evaluationoffeaturebasedmethodsforautomatednetworkorientation |