Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion
By Pierre Moulon, Pascal Monasse, Renaud Marlet. 2013
393 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Christopher Bongsoo Choy
- Silvio Savarese
- JunYoung Gwak
- Kyle Wilson
- Noah Snavely
- Ronen Basri
- Amit Singer
- Andrew Markham
In Computer Vision and Pattern Recognition
- Jitendra Malik
- Luc Van Gool
- Andrea Vedaldi
- Xiaogang Wang
- Dacheng Tao
- Ming-Hsuan Yang
- Trevor Darrell
- Andrew Zisserman
Citations in the corpus
- 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction (2016, methodology): “The MVS method takes images along with their camera positions estimated by Global SFM [50] and outputs the reconstructed model.”
- A Survey on Structure from Motion (2017, methodology): “…is given in [53], where this time, instead of using a cost function given as the sum of squared errors (as in [76]) or the maximum error (as in [49]) in the system of equations (16), the method minimizes the sum of unsquared errors in (16) (hence the name least unsquared deviations (LUD)…”
- Robust Global Translations with 1DSfM (2014, methodology): “Our method for outlier removal is similar in motivation to [18], but by projecting into a single dimension we solve tractable subproblems that reduce to a simple combinatorial graph problem.”
- Visual SLAM and Structure from Motion in Dynamic Environments (2018, background): “Subsequently, other different perspectives for solving the problem including factorization [151, 154] and rotation averaging [50, 107] appeared.”
- OpenMVG: Open Multiple View Geometry (2016, methodology): “- Translation averaging with L2 norm [17], L1, and L∞ [5].”