Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 51-61 |
| Seitenumfang | 11 |
| Fachzeitschrift | Photogrammetrie, Fernerkundung, Geoinformation |
| Jahrgang | 2012 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - Jan. 2012 |
Abstract
This article describes the dense stereoscopic 3D reconstruction of surfaces which offer only low texture by employing a global matching algorithm with smoothness-based priors in an energy minimization framework. The envisaged application areas are high speed image sequences of dynamic processes where the projection of structured light is not applicable. The lack of depth cues on the measured object normally leads to very sparse and often false reconstructions if common local matching algorithms like cross correlation or least squares matching are employed. Within this AiF funded project an operational photogrammetric stereo measurement system has been developed consisting of a stereo rig with high speed cameras and a global matching algorithm. This system allows for the first time a dense reconstruction of surfaces with low texture in high speed image sequences. Quantitative and qualitative results for two test data sets demonstrate that the determination of a dense point cloud of low texture objects without employing structured light is possible.
ASJC Scopus Sachgebiete
- Sozialwissenschaften (insg.)
- Geografie, Planung und Entwicklung
- Physik und Astronomie (insg.)
- Instrumentierung
- Erdkunde und Planetologie (insg.)
- Erdkunde und Planetologie (sonstige)
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in: Photogrammetrie, Fernerkundung, Geoinformation, Jahrgang 2012, Nr. 1, 01.2012, S. 51-61.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Dense 3D Reconstruction of Low Texture Surfaces Using an Energy Minimization Framework with Smoothness-Based Priors
AU - Schmidt, Ralph
AU - Heipke, Christian
AU - Wiggenhagen, Manfred
AU - Wolf, Bernd Michael
PY - 2012/1
Y1 - 2012/1
N2 - This article describes the dense stereoscopic 3D reconstruction of surfaces which offer only low texture by employing a global matching algorithm with smoothness-based priors in an energy minimization framework. The envisaged application areas are high speed image sequences of dynamic processes where the projection of structured light is not applicable. The lack of depth cues on the measured object normally leads to very sparse and often false reconstructions if common local matching algorithms like cross correlation or least squares matching are employed. Within this AiF funded project an operational photogrammetric stereo measurement system has been developed consisting of a stereo rig with high speed cameras and a global matching algorithm. This system allows for the first time a dense reconstruction of surfaces with low texture in high speed image sequences. Quantitative and qualitative results for two test data sets demonstrate that the determination of a dense point cloud of low texture objects without employing structured light is possible.
AB - This article describes the dense stereoscopic 3D reconstruction of surfaces which offer only low texture by employing a global matching algorithm with smoothness-based priors in an energy minimization framework. The envisaged application areas are high speed image sequences of dynamic processes where the projection of structured light is not applicable. The lack of depth cues on the measured object normally leads to very sparse and often false reconstructions if common local matching algorithms like cross correlation or least squares matching are employed. Within this AiF funded project an operational photogrammetric stereo measurement system has been developed consisting of a stereo rig with high speed cameras and a global matching algorithm. This system allows for the first time a dense reconstruction of surfaces with low texture in high speed image sequences. Quantitative and qualitative results for two test data sets demonstrate that the determination of a dense point cloud of low texture objects without employing structured light is possible.
KW - 3D reconstruction
KW - Matching
KW - Metrology
KW - Surface
KW - Texture
UR - http://www.scopus.com/inward/record.url?scp=84858215151&partnerID=8YFLogxK
U2 - 10.1127/1432-8364/2012/0102
DO - 10.1127/1432-8364/2012/0102
M3 - Article
AN - SCOPUS:84858215151
VL - 2012
SP - 51
EP - 61
JO - Photogrammetrie, Fernerkundung, Geoinformation
JF - Photogrammetrie, Fernerkundung, Geoinformation
SN - 1432-8364
IS - 1
ER -