Automated camera network design for 3D modeling of cultural heritage objects.
Abstract: Image-based modeling is an appropriate technique to create 3D models of cultural heritage objects, which starts with the basic task of designing the camera network. This task is, however, quite crucial in practical applications because it needs a thorough planning and a certain level of ex...
| Publicado en: | Journal of Cultural Heritage Vol. 14; no. 6; pp. 515 - 527 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Nov2013
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=91602177&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 91602177 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 12962074 KK8 jtl: Journal of Cultural Heritage issn: 12962074 maglogo: N pubinfo: dt: Nov2013 vid: 14 iid: 6 pid: 467 pub: Elsevier B.V. artinfo: ui: 91602177 10.1016/j.culher.2012.11.007 ppf: 515 ppct: 12 formats: tig: atl: Automated camera network design for 3D modeling of cultural heritage objects. aug: au: Alsadik, Bashar Gerke, Markus Vosselman, George affil: Department of Earth Observation Science, University of Twente, POB 217, 7500 AE Enschede, Netherlands Department of Surveying, College of Engineering, University of Baghdad, Jadriyah, Iraq su: Cultural property Cameras Imaging systems Cinematography Buildings Mathematical optimization sug: subj: Cultural property Cameras Imaging systems Cinematography Buildings Mathematical optimization keyword: 3D models Camera calibration Image orientation Optimization SFM SIFT Synthetic image ab: Abstract: Image-based modeling is an appropriate technique to create 3D models of cultural heritage objects, which starts with the basic task of designing the camera network. This task is, however, quite crucial in practical applications because it needs a thorough planning and a certain level of experience. The optimal camera network is designed when certain accuracy demands are fulfilled with a reasonable effort, namely keeping the number of camera shots at a minimum. In this study, we report on the development of an automated method for designing the optimal camera network for a given cultural heritage building or statue. Starting from a rough point cloud derived from a video image stream, the initial configuration of the camera network is designed, assuming a high-resolution HR state-of-the-art non-metric camera. To improve the image coverage and accuracy, we use a mathematical non-linear optimization with constraints. Furthermore, synthetic images are created to guide the camera operator to the designed images. From the first experimental test, we found that a target accuracy of 10mm could be maintained although the initial number of more than 300 high-resolution images got reduced to less than 90 for the final, optimized network. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
|---|