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 Christian Reinbacher

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Average citations per article2.71
Citation Count19
Publication count7
Publication years2010-2017
Available for download2
Average downloads per article84.00
Downloads (cumulative)168
Downloads (12 Months)113
Downloads (6 Weeks)14
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7 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
June 2017 CBMI '17: Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 8,   Downloads (12 Months): 35,   Downloads (Overall): 35

Full text available: PDFPDF
The development of powerful 3D scanning hardware and reconstruction algorithms has strongly promoted the generation of 3D surface reconstructions in different domains. An area of special interest for such 3D reconstructions is the cultural heritage domain, where surface reconstructions are generated to digitally preserve historical artifacts. While reconstruction quality nowadays ...
Keywords: 3D Surface Segmentation, Dataset, Segmentation, Petroglyphs

2 published by ACM
September 2016 Journal on Computing and Cultural Heritage (JOCCH): Volume 9 Issue 4, December 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 78,   Downloads (Overall): 133

Full text available: PDFPDF
Petroglyphs (rock engravings) have been pecked and engraved by humans into natural rock surfaces thousands of years ago and are among the oldest artifacts that document early human life and culture. Some of these rock engravings have survived until the present and serve today as a unique document of ancient ...
Keywords: 3D rock-art analysis, surface texture analysis, 3D segmentation, semi-automatic segmentation

3
December 2014 3DV '14: Proceedings of the 2014 2nd International Conference on 3D Vision - Volume 01
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

In this paper we present a novel method to accurately estimate the dense 3D motion field, known as scene flow, from depth and intensity acquisitions. The method is formulated as a convex energy optimization, where the motion warping of each scene point is estimated through a projection and back-projection directly ...
Keywords: Scene Flow, Superresolution, Camera Pose Estiamtion, Convex Optimization, RGB-D Sensor, Time-of-Flight

4
December 2013 ICCV '13: Proceedings of the 2013 IEEE International Conference on Computer Vision
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 17

In this work we present a novel method for the challenging problem of depth image up sampling. Modern depth cameras such as Kinect or Time-of-Flight cameras deliver dense, high quality depth measurements but are limited in their lateral resolution. To overcome this limitation we formulate a convex optimization problem using ...
Keywords: upsampling, superresolution, depth sensing, anisotropic tensor, total generalized variation, optimization, computer vision

5
November 2012 Image and Vision Computing: Volume 30 Issue 11, November, 2012
Publisher: Butterworth-Heinemann
Bibliometrics:
Citation Count: 0

We present a variational segmentation method which exploits color, edge and spatial information between an arbitrary number of views. In contrast to purely image based information like color and gradient, spatial consistency is a new cue for segmentation, which originates from the field of 3D reconstruction. We show that this ...
Keywords: Variational segmentation, Catadioptric, GPU, Multi-view

6
May 2011 SCIA'11: Proceedings of the 17th Scandinavian conference on Image analysis
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

The automated handling of objects requires the estimation of object position and rotation with respect to an actuator. We propose a system for silhouette-based pose estimation, which can be applied to a variety of objects, including untextured and slightly transparent objects. Pose estimation inevitably relies on previous knowledge of the ...
Keywords: shape from silhouette, model creation, catadioptric multi-view, pose estimation

7
August 2010 ICPR '10: Proceedings of the 2010 20th International Conference on Pattern Recognition
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 2

Pose estimation is essential for automated handling of objects. In many computer vision applications only the object silhouettes can be acquired reliably, because untextured or slightly transparent objects do not allow for other features. We propose a pose estimation method for known objects, based on hierarchical silhouette matching and unsupervised ...
Keywords: pose estimation, hierarchical clustering, silhouette matching



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