activity
20162020
most citedTrivariate Spline Representations for Computer Aided Design and Additive Manufacturing

42 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2020

Scattered data approximation by LR B-spline surfaces. A study on refinement strategies for efficient approximation

Vibeke Skytt, Tor Dokken

Locally refined spline surfaces (LRB) is a representation well suited for scattered data approximation. When a data set has local details in some areas and is largely smooth in oth…

math.NA2020

Locally refined spline surfaces for terrain and sea bed data: tailored approximation, export and analysis tools

Vibeke Skytt, Tor Dokken

The novel Locally Refined B-spline (LR B-spline) surface format is suited for representing terrain and seabed data in a compact way. It provides an alternative to the well know ras…

cs.CE2019

Parametric shape optimization for combined additive-subtractive manufacturing

Christian Altenhofen, Marco Attene, Oliver Barrowclough +6

In the industrial practice, additive manufacturing processes are often followed by post-processing operations such as subtractive machining, milling, etc. to achieve the desired su…

math.NA2018★ 42 cited

Trivariate Spline Representations for Computer Aided Design and Additive Manufacturing

Tor Dokken, Vibeke Skytt, Oliver Barrowclough

Digital representations targeting design and simulation for Additive Manufacturing (AM) are addressed from the perspective of Computer Aided Geometric Design. We discuss the feasib…

cs.GR2016

Deconfliction and Surface Generation from Bathymetry Data Using LR B-splines

Vibeke Skytt, Quillon Harpham, Tor Dokken +1

A set of bathymetry point clouds acquired by different measurement techniques at different times, having different accuracy and varying patterns of points, are approximated by an L…