DeepAI

# Optimal Morphs of Planar Orthogonal Drawings

We describe an algorithm that morphs between two planar orthogonal drawings Γ_I and Γ_O of a connected graph G, while preserving planarity and orthogonality. Necessarily Γ_I and Γ_O share the same combinatorial embedding. Our morph uses a linear number of linear morphs (linear interpolations between two drawings) and preserves linear complexity throughout the process, thereby answering an open question from Biedl et al. Our algorithm first unifies the two drawings to ensure an equal number of (virtual) bends on each edge. We then interpret bends as vertices which form obstacles for so-called wires: horizontal and vertical lines separating the vertices of Γ_O. These wires define homotopy classes with respect to the vertices of G (for the combinatorial embedding of G shared by Γ_I and Γ_O). These homotopy classes can be represented by orthogonal polylines in Γ_I. We argue that the structural difference between the two drawings can be captured by the spirality of the wires in Γ_I, which guides our morph from Γ_I to Γ_O.

• 3 publications
• 15 publications
08/22/2019

### Optimal Morphs of Planar Orthogonal Drawings II

Van Goethem and Verbeek recently showed how to morph between two planar ...
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### Planar Confluent Orthogonal Drawings of 4-Modal Digraphs

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07/20/2023

### Manipulating Weights to Improve Stress-Graph Drawings of 3-Connected Planar Graphs

We study methods to manipulate weights in stress-graph embeddings to imp...