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Christian Mostegel

3 accepted papers

2017

Scalable Surface Reconstruction From Point Clouds With Extreme Scale and Density Diversity

CVPR 2017poster

In this paper we present a scalable approach for robustly computing a 3D surface mesh from multi-scale multi-view stereo point clouds that can handle extreme jumps of point density (in our experiments three orders of magnitude). The backbone of our approach is a combination of octree data partitioni…

Cited by 37PDFScholar
2016

Using Self-Contradiction to Learn Confidence Measures in Stereo Vision

CVPR 2016poster

Learned confidence measures gain increasing importance for outlier removal and quality improvement in stereo vision. However, acquiring the necessary training data is typically a tedious and time consuming task that involves manual interaction, active sensing devices and/or synthetic scenes. To over…

Cited by 41PDFScholar