Guided Capturing of Multi-view Stereo Datasets

As shown in Figure 6, a final multi-view stereo reconstruction is comparable to one obtained from a dataset captured by an expert.. Results for an outdoor statue are shown in

Simon Fuhrmann, Fabian Langguth, Michael Goesele. GCC – Graphics, Capture and Massively Parallel Computing,

Figure 2: Top Row: Multi-aperture images of a static scene, (a) Tone mapped result using [HK07], (b) LDR image obtained using the proposed

The system covers the algo- rithms necessary for high-quality image based reconstructions, i.e., a Structure from Motion algorithm, Multi-View Stereo reconstruction, generation of

Figure 1: We acquire the measured SVBRDF of a flat material sample using only 20 input images captured on a spherical gantry, with optimized light-view directions.. As can be seen,

2 paper1024 / Supplemental Material for Photon Splatting Using a View-Sample Cluster Hierarchy. Figure 1: Path traced images of Sponza

The real dataset consists of depth maps { D n } measured by an Intel Realsense SR300 sensor, where we track motion with the multi-view stereo (MVS) calibrated model from [Tkach et

Secondly, we compute per- pixel light source visibilities using an initial biased reconstruction in order to update the estimated normal map to a solution with reduced bias..