Recurrent Color Constancy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315771" target="_blank" >RIV/68407700:21230/17:00315771 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/ICCV.2017.582" target="_blank" >http://dx.doi.org/10.1109/ICCV.2017.582</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICCV.2017.582" target="_blank" >10.1109/ICCV.2017.582</a>

Result language

angličtina

Original language name

Recurrent Color Constancy

Original language description

We introduce a novel formulation of temporal color constancy which considers multiple frames preceding the frame for which illumination is estimated. We propose an endto-end trainable recurrent color constancy network – the RCC-Net – which exploits convolutional LSTMs and a simulated sequence to learn compositional representations in space and time. We use a standard single frame color constancy benchmark, the SFU Gray Ball Dataset, which can be adapted to a temporal setting. Extensive experiments show that the proposed method consistently outperforms single-frame state-of-the-art methods and their temporal variants.

Czech name

—

Czech description

—

Type

D - Article in proceedings

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/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>

Continuities

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

Publication year

2017

Confidentiality

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

Article name in the collection

2017 IEEE International Conference on Computer Vision (ICCV 2017)

ISBN

978-1-5386-1032-9

ISSN

1550-5499

e-ISSN

—

Number of pages

9

Pages from-to

5459-5467

Publisher name

IEEE

Place of publication

Piscataway

Event location

Venice

Event date

Oct 22, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000425498405057