Reconstructing urban scene 3D using VisualSfM
DOI:
https://doi.org/10.6092/issn.1828-5961/3873Keywords:
Modellazione da immagini, Ricostruzione 3D, Scena urbana, Image-based modeling, 3D reconstruction, Urban SceneAbstract
New computer vision techniques use photo dataset to rapidly build detailed 3D models. Computer- vision researchers have explored many approaches to city-scale 3D reconstruc on. Among these systems stands out VisualSfM developed by the University of Washington & Google Inc. It is a open source GUI applica on of a Structure from Mo on (SfM) so! ware that uses a feature extractor called Si! GPU and the Mul core Bundle Adjustment. In addi on it embeds the CMVS/ PMVS2 able to reconstruct dense 3D point cloud. Our goal is to demonstrate the metric accuracy of VisualSfM+CMVS/PMVS2 and that to get run it, you can use an unstructured photo dataset but the result improves if you use a structured photo dataset. The approach has been tested on several large datasets with structured images.
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Copyright (c) 2013 Laura Inzerillo, Cettina Santagati, Francesco Di Paola
