Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00315220" target="_blank" >RIV/68407700:21230/18:00315220 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/document/7875456/" target="_blank" >http://ieeexplore.ieee.org/document/7875456/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TPAMI.2017.2680444" target="_blank" >10.1109/TPAMI.2017.2680444</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency

Popis výsledku v původním jazyce

We propose a novel approach to reconstructing curvilinear tree structures evolving over time, such as road networks in 2D aerial images or neural structures in 3D microscopy stacks acquired in vivo. To enforce temporal consistency, we simultaneously process all images in a sequence, as opposed to reconstructing structures of interest in each image independently. We formulate the problem as a Quadratic Mixed Integer Program and demonstrate the additional robustness that comes from using all available visual clues at once, instead of working frame by frame. Furthermore, when the linear structures undergo local changes over time, our approach automatically detects them.

Název v anglickém jazyce

Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency

Popis výsledku anglicky

We propose a novel approach to reconstructing curvilinear tree structures evolving over time, such as road networks in 2D aerial images or neural structures in 3D microscopy stacks acquired in vivo. To enforce temporal consistency, we simultaneously process all images in a sequence, as opposed to reconstructing structures of interest in each image independently. We formulate the problem as a Quadratic Mixed Integer Program and demonstrate the additional robustness that comes from using all available visual clues at once, instead of working frame by frame. Furthermore, when the linear structures undergo local changes over time, our approach automatically detects them.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

IEEE Transactions on Pattern Analysis and Machine Intelligence

ISSN

0162-8828

e-ISSN

1939-3539

Svazek periodika

40

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

7

Strana od-do

755-761

Kód UT WoS článku

000424465900018

EID výsledku v databázi Scopus

2-s2.0-85041964600