Reconstructing 3D Magnetic Topology of On-disk Prominence Bubbles from Stereoscopic Observations

On Reconstructing Surfaces of Arbitrary Topology from Range Images

To reconstruct a topologically consistent 3D surface model is a challenging problem. In this paper we present an algorithm that estimates from a range image, without registering and converting it into a volumetric data, the most probable topology of a surface to be reconstructed. In our algorithm we start with a closed initial mesh and preserve its “closeness” during the reconstruction process....

Reconstructing and Correcting 3d Building Models Using Roof Topology Graphs

Patterns of prominence in L2: Observations from learners of Swedish with L1s of diverse prominence properties

Swedish has – like other Germanic languages – flexible stress placement, which underlies morphological rules and is also based on the individual word’s origin. The achievement of the correct usage when learning Swedish is challenging. As second language learners of Swedish in the classrooms present speakers of a variety of first languages (L1s), the opportunity has been taken to have a closer l...

On Reconstructing 3D Feature Boundaries

Raw point data collected by 3D scanning techniques are usually rendered by building an interpolating robust polygonal mesh. This approach is accurate and fast but provides no means for large scale subsequent modifications. Only local interactive or non-interactive tools are provided that are usually targeted to correcting small imperfections and eliminating noise effects. CAD applications requi...

Reconstructing light curves from HXMT imaging observations

The Hard X-ray Modulation Telescope (HXMT) is a Chinese space telescope mission. It is scheduled for launch in 2015. The telescope will perform an all-sky survey in hard X-ray band (1 250 keV), a series of deep imaging observations of small sky regions as well as pointed observations. In this work we present a conceptual method to reconstruct light curves from HXMT imaging observation directly,...