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STRUCTURELESS BUNDLE ADJUSTMENT WITH SELF-CALIBRATION USING ACCUMULATED CONSTRAINTS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Bundle adjustment based on collinearity is the most widely used optimization method within image based scene reconstruction. It incorporates observed image coordinates, exterior and intrinsic camera parameters as well as object space coordinates of the ...
A. Cefalu, N. Haala, D. Fritsch
doaj   +2 more sources

FAST AND RESISTANT PROCRUSTEAN BUNDLE ADJUSTMENT [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
In a recent paper (Fusiello and Crosilla, 2015) a Procrustean formulation of the bundle block adjustment has been presented, with a solution based on alternating least squares.
A. Fusiello, F. Crosilla
doaj   +5 more sources

High Breakdown Bundle Adjustment

open access: yes2015 IEEE Winter Conference on Applications of Computer Vision, 2015
Identifying the parameters of a model such that it best fits an observed set of data points is fundamental to the majority of problems in computer vision. This task is particularly demanding when portions of the data has been corrupted by gross outliers, measurements that are not explained by the assumed distributions.
Anders P. Eriksson   +2 more
openaire   +4 more sources

Multiplatform Bundle Adjustment Method Supported by Object Structural Information

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The registration and integration of data from different platforms are becoming more and more important for real-scene three-dimensional (3-D) reconstruction.
Jianchen Liu, Wei Guo
doaj   +2 more sources

IMPLEMENTING FUNCTIONAL MODULARITY FOR PROCESSING OF GENERAL PHOTOGRAMMETRIC DATA WITH THE DAMPED BUNDLE ADJUSTMENT TOOLBOX (DBAT) [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
The Damped Bundle Adjustment Toolbox (DBAT) is a free, open-source, toolbox for bundle adjustment. The purpose of DBAT is to provide an independent, open-source toolkit for statistically rigorous bundle adjustment computations.
N. Börlin   +2 more
doaj   +2 more sources

Bundle Adjustment for Stereoscopic 3D

open access: yes, 2011
The recent resurgence of stereoscopic 3D films has triggered a high demand for post-processing tools for stereoscopic image sequences. Camera motion estimation, also known as structure-from-motion (SfM) or match-moving, is an essential step in the post-processing pipeline.
Kurz, C.   +2 more
openaire   +3 more sources

Camera Calibration using the Damped Bundle Adjustment Toolbox [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
Camera calibration is one of the fundamental photogrammetric tasks. The standard procedure is to apply an iterative adjustment to measurements of known control points. The iterative adjustment needs initial values of internal and external parameters.
N. Börlin, P. Grussenmeyer
doaj   +2 more sources

Conjugate Gradient Bundle Adjustment

open access: yes, 2010
Bundle adjustment for multi-view reconstruction is traditionally done using the Levenberg-Marquardt algorithm with a direct linear solver, which is computationally very expensive. An alternative to this approach is to apply the conjugate gradients algorithm in the inner loop.
Martin Byröd, Kalle Åström
core   +4 more sources

A New Approach to Performing Bundle Adjustment for Time Series UAV Images 3D Building Change Detection

open access: yesRemote Sensing, 2017
Successful change detection in multi-temporal images relies on high spatial co-registration accuracy. However, co-registration accuracy alone cannot meet the needs of change detection when using several ground control points to separately geo-reference ...
Wenzhuo Li   +4 more
doaj   +3 more sources

Event-Based Photometric Bundle Adjustment

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence
We tackle the problem of bundle adjustment (i.e., simultaneous refinement of camera poses and scene map) for a purely rotating event camera. Starting from first principles, we formulate the problem as a classical non-linear least squares optimization. The photometric error is defined using the event generation model directly in the camera rotations and
Shuang Guo 0003, Guillermo Gallego 0002
openaire   +6 more sources

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