Demo Data from VLDB 2026 / reviewers in the wild / expert
Olivia X. Laske
dblp:377/1578
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Image and video processing · 77% Rendering · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering › non-photorealistic rendering
artistic rendering |
0.2 | 1 | 2024 | Image Triangulation Using the Sobel Operator for Vertex Selection (Media Exposition) · SoCG 2024 |
Methods — techniques the papers use, named apart from their topics
sobel edge detection · 0.8point cloud sparsification · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Image Triangulation Using the Sobel Operator for Vertex Selection (Media Exposition)abstractImage triangulation, the practice of decomposing images into triangles, deliberately employs simplification to create an abstracted representation. While triangulating an image is a relatively simple process, difficulties arise when determining which vertices produce recognizable and visually pleasing output images. With the goal of producing art, we discuss an image triangulation algorithm in Python that utilizes Sobel edge detection and point cloud sparsification to determine final vertices for a triangulation, resulting in the creation of artistic triangulated compositions. Olivia X. Laske, Lori Ziegelmeier |
SoCG | 1 |