TY - JOUR AU - Inzerillo, Laura AU - Santagati, Cettina AU - Di Paola, Francesco PY - 2013/01/01 Y2 - 2024/03/29 TI - Reconstructing urban scene 3D using VisualSfM JF - DISEGNARECON JA - DIS_CON VL - 6 IS - 12 SE - Articles DO - 10.6092/issn.1828-5961/3873 UR - https://disegnarecon.unibo.it/article/view/3873 SP - XIX / 1-8 AB - 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. ER -