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David Lutterkort
Researcher at Red Hat
Publications - 14
Citations - 260
David Lutterkort is an academic researcher from Red Hat. The author has contributed to research in topics: Stub file & Versioning file system. The author has an hindex of 7, co-authored 14 publications receiving 248 citations. Previous affiliations of David Lutterkort include University of Florida & Purdue University.
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Sharp, quantitative bounds on the distance between a polynomial piece and its Bézier control polygon
TL;DR: This paper provides a straightforward proof of quadratic convergence of the sequence of control polygons to the Bezier segment under subdivision or degree-fold degree-raising, and establishes the explicit convergence constants, and allows analyzing the optimal choice of the subdivision parameter for adaptive refinement of Quadratic and cubic segments.
Journal ArticleDOI
Tight linear envelopes for splines
David Lutterkort,Jörg Peters +1 more
TL;DR: A sharp bound on the distance between a spline and its B-spline control polygon is derived and the bound yields a piecewise linear envelope enclosingspline and polygon that can be easily and efficiently implemented.
Proceedings ArticleDOI
Smooth paths in a polygonal channel
David Lutterkort,Jörg Peters +1 more
TL;DR: This work shows how to efficiently smooth a polygon with an approximating spline that stays to one side of the polygon and how to find a smooth spline path between two polygons that form a channel.
Journal ArticleDOI
Optimized refinable enclosures of multivariate polynomial pieces
David Lutterkort,Jörg Peters +1 more
TL;DR: An enclosure is a two-sided approximation of a uni- or multivariate function b@?B by a pair of typically simpler functions b^+,b^-@?H B such that b^-=.
Envelopes of nonlinear geometry
David Lutterkort,Jörg Peters +1 more
TL;DR: A general framework for comparing objects commonly used to represent nonlinear geometry with simpler, related objects, most notably their control polygon, is provided and is used to compute envelopes for univariate splines, the four point subdivision scheme, tensor product polynomials and bivariate Bernstein polynmials.