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