The continuous advancements of particle imaging techniques for flow field measurements have led to systems and processing approaches matching the demands 3D velocimetry at large scale (Schanz et al., 2016; Discetti Coletti, 2018). Often, past an object immersed in fluid is key interest, some cases experimentalist exploits data analysis near-surface properties such as pressure. It follows that k...

For the first time, 5 X 5 surface reconstruction on annealed LaAIO3{100} surfaces is observed with reflection high-energy electron diffraction (RHEED) and reflection electron microscopy (REM). Most of the {100} surface areas are covered by the reconstructed layer. The presence of twin boundaries and protrusion contaminants on the surface has no influence on the formation of the reconstruction. ...

We introduce photometric stereo reconstruction for surface analysis of mucosal tissue. Photometric stereo captures images of a surface from a single camera, but illuminated from different light sources. From the set of images, a detailed surface reconstruction is estimated. We apply photometric stereo principles to mucosal tissue, which raises technical challenges due to its specular appearance...

S U M M A R Y Sensitivity kernels for fundamental mode surface waves at finite frequency for 2-D phase speed and 3-D shear wave speed are constructed based on the Born and Rytov approximations working with a potential representation for surface waves. The use of asymptotic Green’s functions for scalar wave equations provides an efficient way to calculate the Born or Rytov kernels. The 2-D sensi...

In this paper we propose a surface reconstruction method for highly noisy and non-uniform data based on minimal surface model and tensor voting method. To deal with ill-posedness, noise and/or other uncertainties in the data we processes the raw data first using tensor voting before we do surface reconstruction. The tensor voting procedure allows more global and robust communications among the ...