Evaluation of multi-view 3D reconstruction software
Autor(en): | Schöning, J. Heidemann, G. |
Herausgeber: | Azzopardi, G. Petkov, N. |
Stichwörter: | Benchmark; Benchmarking; Computer software; Image analysis; Image reconstruction; Multi-view 3D reconstruction; Multi-view image; Multi-views; Perfomance; Photogrammetry; Photogrammetry, 3D reconstruction; Software comparison; Software comparisons; Software solution; Structure from motion; Structure from Motion (SFM); Structure from motion algorithm, Three dimensional computer graphics | Erscheinungsdatum: | 2015 | Herausgeber: | Springer Verlag | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Volumen: | 9257 | Startseite: | 450 | Seitenende: | 461 | Zusammenfassung: | A number of software solutions for reconstructing 3D models from multi-view image sets have been released in recent years. Based on an unordered collection of photographs, most of these solutions extract 3D models using structure-from-motion (SFM) algorithms. In this work, we compare the resulting 3D models qualitatively and quantitatively. To achieve these objectives, we have developed different methods of comparison for all software solutions. We discuss the perfomance and existing drawbacks. Particular attention is paid to the ability to create printable 3D models or 3D models usable for other applications. © Springer International Publishing Switzerland 2015. |
Beschreibung: | Conference of 16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015 ; Conference Date: 2 September 2015 Through 4 September 2015; Conference Code:140469 |
ISBN: | 9783319231167 | ISSN: | 03029743 | DOI: | 10.1007/978-3-319-23117-4_39 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958521223&doi=10.1007%2f978-3-319-23117-4_39&partnerID=40&md5=e2bfc263696e58e2f8553518f6a3d96a |
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geprüft am 18.05.2024