Geometry-Aware Planar Embedding of Treelike Structures
Ping Hu, Saeed Boorboor, Joseph Marino, and Arie E. Kaufman

TL;DR
This paper introduces a geometry-aware method for creating planar embeddings of 3D treelike structures, enabling clear visualization and exploration of complex spatial data with interactive and hierarchical features.
Contribution
It presents a novel approach that preserves geometry, avoids overlaps, and incorporates interactive and hierarchical visualization techniques for treelike structures.
Findings
Effective visualization of complex 3D structures in 2D
Interactive modification of embeddings improves user exploration
Quantitative evaluation shows high fidelity and minimal overlaps
Abstract
The growing complexity of spatial and structural information in 3D data makes data inspection and visualization a challenging task. We describe a method to create a planar embedding of 3D treelike structures using their skeleton representations. Our method maintains the original geometry, without overlaps, to the best extent possible, allowing exploration of the topology within a single view. We present a novel camera view generation method which maximizes the visible geometric attributes (segment shape and relative placement between segments). Camera views are created for individual segments and are used to determine local bending angles at each node by projecting them to 2D. The final embedding is generated by minimizing an energy function (the weights of which are user adjustable) based on branch length and the 2D angles, while avoiding intersections. The user can also interactively…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputer Graphics and Visualization Techniques · Cell Image Analysis Techniques · Advanced Vision and Imaging
