To exploit Rashba effect in a 2D electron gas on silicon surface for spin transport, it is necessary to have surface reconstruction with spin-split metallic surface-state bands. However, metals with strong spin-orbit coupling (e.g., Bi, Tl, Sb, Pt) induce reconstructions on silicon with almost exclusively spin-split insulating bands. We propose a strategy to create spin-split metallic bands usi...

3D reconstruction for freehand 3D ultrasound is a challenging issue because the recorded B-scans are not only sparse, but also non-parallel (actually they may arbitrarily orient in 3D space and may intersect each other). Conventional volume reconstruction methods can’t reconstruct sparse data efficiently while not introducing geometrical artifacts and conventional surface reconstruction methods...

Title Labeling of data-driven cell complexes for surface reconstruction Abstract This thesis introduces a new flexible framework for surface reconstruction from acquired point sets. This framework casts the surface reconstruction problem as a cells binary labeling problem on a point-guided cell complex under a combination of visibility constraints. This problem can be solved by computing a simp...

By using scanning tunnelling potentiometry we characterized the lateral variation of the electrochemical potential µec on the gold-induced Ge(001)-c(8 × 2)-Au surface reconstruction while a lateral current flows through the sample. On the reconstruction and across domain boundaries we find that µec shows a constant gradient as a function of the position between the contacts. In addition, nanosc...

Surface approximation from unorganized points belongs to the state-of-art of computer graphics. In this work, we present approaches for surface reconstruction that are based on efficient numerical schemes for function approximation from scattered data and on sophisticate data structures. In addition, we develop a relevant surface reconstruction method to model moving interfaces, specifically, i...

We show how to reconstruct a two-dimensional surface, the drift field, and the diffusion tensor from a planar projection of trajectories of a diffusion process on the surface. The reconstruction is based on the stochastic differential equations of the projected motion, whose drift and diffusion tensor depend on the local curvature of the surface. The reconstruction process requires the solution...

Title Labeling of data-driven cell complexes for surface reconstruction Abstract This thesis introduces a new flexible framework for surface reconstruction from acquired point sets. This framework casts the surface reconstruction problem as a cells binary labeling problem on a point-guided cell complex under a combination of visibility constraints. This problem can be solved by computing a simp...

Surface reconstruction from an unorganized point cloud is an important problem due to its widespread applications. White noise, possibly clustered outliers, and noisy perturbation may be generated when a point cloud is sampled from a surface. Most existing methods handle limited amount of noise. We develop a method to denoise a point cloud so that the users can run their surface reconstruction ...

This paper considers the problem of three dimensional surface reconstruction of non polyhedral objects through series of images taken from a moving camera. We propose a direct method of surface reconstruction which is based on regularized uniform bicubic B-spline surface patches 35]. This reconstruction is achieved by observing the motion of occluding contours 1, 9, 33], i.e., where the view li...