Next Article in Journal
Long-Term Monitoring of Crack Patterns in Historic Structures Using UAVs and Planar Markers: A Preliminary Study
Next Article in Special Issue
Use of an Occlusion Mask for Veiling Glare Removal in HDR Images
Previous Article in Journal
A Comparative Study of Two State-of-the-Art Feature Selection Algorithms for Texture-Based Pixel-Labeling Task of Ancient Documents

Evaluating the Performance of Structure from Motion Pipelines

DISCo—Department of Informatics, Systems, and Communication, University of Milano-Bicocca, viale Sarca 336, 20126 Milano, Italy
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
J. Imaging 2018, 4(8), 98;
Received: 26 June 2018 / Revised: 18 July 2018 / Accepted: 27 July 2018 / Published: 1 August 2018
(This article belongs to the Special Issue Image Enhancement, Modeling and Visualization)
Structure from Motion (SfM) is a pipeline that allows three-dimensional reconstruction starting from a collection of images. A typical SfM pipeline comprises different processing steps each of which tackles a different problem in the reconstruction pipeline. Each step can exploit different algorithms to solve the problem at hand and thus many different SfM pipelines can be built. How to choose the SfM pipeline best suited for a given task is an important question. In this paper we report a comparison of different state-of-the-art SfM pipelines in terms of their ability to reconstruct different scenes. We also propose an evaluation procedure that stresses the SfM pipelines using real dataset acquired with high-end devices as well as realistic synthetic dataset. To this end, we created a plug-in module for the Blender software to support the creation of synthetic datasets and the evaluation of the SfM pipeline. The use of synthetic data allows us to easily have arbitrarily large and diverse datasets with, in theory, infinitely precise ground truth. Our evaluation procedure considers both the reconstruction errors as well as the estimation errors of the camera poses used in the reconstruction. View Full-Text
Keywords: Structure from Motion (SfM); 3D reconstruction; Blender; evaluation Structure from Motion (SfM); 3D reconstruction; Blender; evaluation
Show Figures

Figure 1

MDPI and ACS Style

Bianco, S.; Ciocca, G.; Marelli, D. Evaluating the Performance of Structure from Motion Pipelines. J. Imaging 2018, 4, 98.

AMA Style

Bianco S, Ciocca G, Marelli D. Evaluating the Performance of Structure from Motion Pipelines. Journal of Imaging. 2018; 4(8):98.

Chicago/Turabian Style

Bianco, Simone; Ciocca, Gianluigi; Marelli, Davide. 2018. "Evaluating the Performance of Structure from Motion Pipelines" J. Imaging 4, no. 8: 98.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop