Nautilus: Recovering Regional Symmetry Transformations for Image Editing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00312458" target="_blank" >RIV/68407700:21230/17:00312458 - isvavai.cz</a>

Výsledek na webu

<a href="http://dcgi.fel.cvut.cz/home/sykorad/nautilus.html" target="_blank" >http://dcgi.fel.cvut.cz/home/sykorad/nautilus.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3072959.3073661" target="_blank" >10.1145/3072959.3073661</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Nautilus: Recovering Regional Symmetry Transformations for Image Editing

Popis výsledku v původním jazyce

Natural images often exhibit symmetries that should be taken into account when editing them. In this paper we present Nautilus — a method for automatically identifying symmetric regions in an image along with their corresponding symmetry transformations. We compute dense local similarity symmetry transformations using a novel variant of the Generalised PatchMatch algorithm that uses Metropolis-Hastings sampling. We combine and refine these local symmetries using an extended Lucas-Kanade algorithm to compute regional transformations and their spatial extents. Our approach produces dense estimates of complex symmetries that are combinations of translation, rotation, scale, and reflection under perspective distortion. This enables a number of automatic symmetry-aware image editing applications including inpainting, rectification, beautification, and segmentation, and we demonstrate state-of-the-art applications for each of them.

Název v anglickém jazyce

Nautilus: Recovering Regional Symmetry Transformations for Image Editing

Popis výsledku anglicky

Natural images often exhibit symmetries that should be taken into account when editing them. In this paper we present Nautilus — a method for automatically identifying symmetric regions in an image along with their corresponding symmetry transformations. We compute dense local similarity symmetry transformations using a novel variant of the Generalised PatchMatch algorithm that uses Metropolis-Hastings sampling. We combine and refine these local symmetries using an extended Lucas-Kanade algorithm to compute regional transformations and their spatial extents. Our approach produces dense estimates of complex symmetries that are combinations of translation, rotation, scale, and reflection under perspective distortion. This enables a number of automatic symmetry-aware image editing applications including inpainting, rectification, beautification, and segmentation, and we demonstrate state-of-the-art applications for each of 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

<a href="/cs/project/TE01020415" target="_blank" >TE01020415: Centrum kompetence ve zpracování vizuálních informací (V3C - Visual Computing Competence Center)</a><br>

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

ACM Transactions on Graphics (TOG)

ISSN

0730-0301

e-ISSN

1557-7368

Svazek periodika

36

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

—

Kód UT WoS článku

000406432100076

EID výsledku v databázi Scopus

2-s2.0-85030769146