Improved Scheduling of Morphing Edge Drawing

08/24/2022
by   Kazuo Misue, et al.
0

Morphing edge drawing (MED), a graph drawing technique, is a dynamic extension of partial edge drawing (PED), where partially drawn edges (stubs) are repeatedly stretched and shrunk by morphing. Previous experimental evaluations have shown that the reading time with MED may be shorter than that with PED. The morphing scheduling method limits visual clutter by avoiding crossings between stubs. However, as the number of intersections increases, the overall morphing cycle tends to lengthen in this method, which is likely to have a negative effect on the reading time. In this paper, improved scheduling methods are presented to address this issue. The first method shortens the duration of a single cycle by overlapping a part of the current cycle with the succeeding one. The second method duplicates every morph by the allowable number of times in one cycle. The third method permits a specific number of simultaneous crossings per edge. The effective performances of these methods are demonstrated through experimental evaluations.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/05/2019

Graph Drawing with Morphing Partial Edges

A partial edge drawing (PED) of a graph is a variation of a node-link di...
research
08/24/2020

Extending Partial Orthogonal Drawings

We study the planar orthogonal drawing style within the framework of par...
research
09/01/2023

Evaluating Animation Parameters for Morphing Edge Drawings

Partial edge drawings (PED) of graphs avoid edge crossings by subdividin...
research
10/11/2021

An automated threshold Edge Drawing algorithm

Parameter choosing in classical edge detection algorithms can be a costl...
research
08/23/2018

Crossing Minimization in Perturbed Drawings

Due to data compression or low resolution, nearby vertices and edges of ...
research
03/11/2021

Polygon-Universal Graphs

We study a fundamental question from graph drawing: given a pair (G,C) o...
research
08/06/2018

Simultaneous Edge Alignment and Learning

Edge detection is among the most fundamental vision problems for its rol...

Please sign up or login with your details

Forgot password? Click here to reset