Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00324547" target="_blank" >RIV/68407700:21230/19:00324547 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14330/19:00108862

Result on the web

<a href="https://doi.org/10.1109/TVCG.2018.2864491" target="_blank" >https://doi.org/10.1109/TVCG.2018.2864491</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TVCG.2018.2864491" target="_blank" >10.1109/TVCG.2018.2864491</a>

Result language

angličtina

Original language name

Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments

Original language description

Labeling is intrinsically important for exploring and understanding complex environments and models in a variety of domains. We present a method for interactive labeling of crowded 3D scenes containing very many instances of objects spanning multiple scales in size. In contrast to previous labeling methods, we target cases where many instances of dozens of types are present and where the hierarchical structure of the objects in the scene presents an opportunity to choose the most suitable level for each placed label. Our solution builds on and goes beyond labeling techniques in medical 3D visualization, cartography, and biological illustrations from books and prints. In contrast to these techniques, the main characteristics of our new technique are: 1) a novel way of labeling objects as part of a bigger structure when appropriate, 2) visual clutter reduction by labeling only representative instances for each type of an object, and a strategy of selecting those. The appropriate level of label is chosen by analyzing the scene's depth buffer and the scene objects' hierarchy tree. We address the topic of communicating the parent-children relationship between labels by employing visual hierarchy concepts adapted from graphic design. Selecting representative instances considers several criteria tailored to the character of the data and is combined with a greedy optimization approach. We demonstrate the usage of our method with models from mesoscale biology where these two characteristics-multi-scale and multi-instance-are abundant, along with the fact that these scenes are extraordinarily dense.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/7AMB17AT021" target="_blank" >7AMB17AT021: Non-photorealistic semi-transparency in visualization</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Transactions on Visualization and Computer Graphics

ISSN

1077-2626

e-ISSN

1941-0506

Volume of the periodical

25

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

10

Pages from-to

977-986

UT code for WoS article

000452640000093

EID of the result in the Scopus database

2-s2.0-85051800308