Corpus ID: 37268354

SURE – The ifp Software for Dense Image Matching

@inproceedings{Wenzel2013SURET,
  title={SURE – The ifp Software for Dense Image Matching},
  author={Konrad Wenzel and Mathias Rothermel and Norbert Haala and Dieter Fritsch},
  year={2013}
}
Dense image matching methods enable the extraction of 3D surface geometry from images acquired from multiple views. Tpyical applications vary from aerial imaging, where such methods can be used to retrieve digital surface models with high density, up to cultural heritage data recording, where the acquisition of images using digital cameras represents an efficient method to retrieve 3D data for documentation purposes. For every application, the desired density and precision of the 3D surface… Expand
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References

SHOWING 1-10 OF 26 REFERENCES
IMAGE ACQUISITION AND MODEL SELECTION FOR MULTI-VIEW STEREO
TLDR
A guideline for the acquisition of imagery for photogrammetric surface acquisition using dense image matching with "One panorama each step" ensures complete coverage and sufficiently redundant observations for a surface reconstruction with high precision and reliability. Expand
SURE : PHOTOGRAMMETRIC SURFACE RECONSTRUCTION FROM IMAGER Y
This article presents an approach of a multi-view stereo (MV S) method for the generation of dense and precise 3D point clo uds. It is based on the Semi-Global Matching (SGM) method followed b y aExpand
The Landscape of Dense Image Matching Algorithms
Both improvements in camera technology and the rise of new matching approaches triggered the development of suitable software tools for image based 3D reconstruction by research groups and vendors ofExpand
POTENTIAL OF DENSE MATCHING FOR THE GENERATION OF HIGH QUALITY DIGITAL ELEVATION MODELS
Until recently, the acquisition of high quality Digital Elevation Models was dominated by the use of airborne LiDAR. However, the increasing quality of digital airborne cameras in combination withExpand
APERO, AN OPEN SOURCE BUNDLE ADJUSMENT SOFTWARE FOR AUTOMATIC CALIBRATION AND ORIENTATION OF SET OF IMAGES
TLDR
This paper focuses on the presentation of APERO the orientation software, which has a large library of parametric model of distortion allowing a precise modelization of all the kind of pinhole camera the authors know, including several model of fish-eye. Expand
A MULTIRESOLUTION AND OPTIMIZATION-BASED IMAGE MATCHING APPROACH : AN APPLICATION TO SURFACE RECONSTRUCTION FROM SPOT 5-HRS STEREO IMAGERY
This paper addresses the multi-resolution implementation of a Cox&Roy optimal flow image matching algorithm. This minimization algorithm aims at solving the surface reconstruction problem formalizedExpand
Image based 3D Reconstruction in Cultural Heritage Preservation
TLDR
This work combined laser scans, terrestrial imagery and images captured from a UAV platform, incorporating structure-from-motion, dense image matching, point cloud registration and production of orthographic projections, from which the CAD drawings could be derived. Expand
A MULTI-CAMERA SYSTEM FOR EFFICIENT POINT CLOUD REC ORDING IN CLOSE RANGE APPLICATIONS
High resolution point cloud recording in close rang e applications is a demanding task for large object s. Current methods like handheld laser scanners are costly and require long time forExpand
Automated and Accurate Orientation of Large Unordered Image Datasets for Close-Range Cultural Heritage Data Recording
TLDR
An automated pipeline for the reconstruction of reliable and precise camera orientation from un-ordered image datasets is presented and results for a close-rangecultural heritage application are shown to demon-strate the performance of the presented pipeline for applications with low cost and high accuracy re-quirements. Expand
Fast and High Quality Fusion of Depth Maps
Reconstructing the 3D surface from a set of provided range images ‐ acquired by active or passive sensors ‐ is an important step to generate faithful virtual models of real objects or environments.Expand
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