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Sequential euclidean distance transforms

Known as: SEDT, Sequential duclidean distance transforms 
In the field of computer graphics, Sequential Euclidean Distance Transforms (SEDT) are a special kind of distance transforms based on the Euclidean… 
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Computer graphics
Distance transformEuclidean distanceList of transforms

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Structural Embedding of Syntactic Trees for Machine Comprehension
Deep neural networks for machine comprehension typically utilizes only word or character embeddings without explicitly taking… 
2016
2016
TCP-polite rate control based on cooperative measurement
Based on the cooperative measurement of new congestion metric instead of drop ratio and round-trip time, a new cooperative… 
2008
2008
Distance transformation, reverse distance transformation and discrete medial axis on toric spaces
  • D. Coeurjolly
  • International Conference on Pattern Recognition
  • 2008
  • Corpus ID: 215813032
In this paper, we present optimal in time algorithms to compute the distance transform, the reverse distance transform and the… 
2008
2008
Construction of WISP3 gene's mutants in SEDT-PA and their expression in COS-7 cells
Objective To construct two types of Wnt-inducible secreted protein 3(WISP3)gene's mutants(1000T/C,840delT)found in… 
2007
2007
The Binding of Human CLIC1 with SEDL and Its Characterization in vitro
Full-length chloride intracellular channel protein 1 (CLIC1) is a member of the family of proteins related to bovine chloride… 
Highly Cited
2005
Highly Cited
2005
Exact medial axis with euclidean distance
2003
2003
Look-Up Tables for Medial Axis on Squared Euclidean Distance Transform
Medial Axis (MA), also known as Centres of Maximal Disks, is a useful representation of a shape for image description and… 
1996
1996
A Parallel Euclidean Distance Transformation Algorithm
We present a parallel algorithm for the Euclidean distance transformation (EDT). It is a “divide-and-conquer” algorithm based on… 
1995
1995
On merging hidden Markov models with deformable templates
  • R. RaoR. Mersereau
  • Proceedings., International Conference on Image…
  • 1995
  • Corpus ID: 8253479
Hidden Markov modeling has proven extremely useful for statistical analysis of speech signals. There are, however, inherent… 
Highly Cited
1992
Highly Cited
1992
Fast raster scan distance propagation on the discrete rectangular lattice
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