Enhanced automatic 2D-3D conversion using retinex in machine learning framework

Herrera Conejero, José Luis and Blanco Adán, Carlos Roberto del and García Santos, Narciso (2015). Enhanced automatic 2D-3D conversion using retinex in machine learning framework. In: "International Symposium on Consumer Electronics (ISCE 2015)", 24/06/2015 - 26/06/2015, Madrid, Spain. pp. 1-2. https://doi.org/10.1109/ISCE.2015.7177825.

Description

Title: Enhanced automatic 2D-3D conversion using retinex in machine learning framework
Author/s:
  • Herrera Conejero, José Luis
  • Blanco Adán, Carlos Roberto del
  • García Santos, Narciso
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Symposium on Consumer Electronics (ISCE 2015)
Event Dates: 24/06/2015 - 26/06/2015
Event Location: Madrid, Spain
Title of Book: International Symposium on Consumer Electronics (ISCE 2015)
Date: 2015
Subjects:
Freetext Keywords: 2D-to-3D image conversion; depth maps; retinex
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, we present an approach for automatically convert images from 2D to 3D. The algorithm uses a color + depth dataset to estimate a depth map of a query color image by searching structurally similar images in the dataset and fusing them. Our experimental results indicate that the inclusion of a retinex based stage for the query image and the dataset images improves the performance of the system on commonly-used databases and for different image descriptors.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2010-20412Enhanced 3DTVMinisterio de Economía y CompetitividadUnspecified
Government of SpainTEC2013-48453MR-UHDTVMinisterio de Economía y CompetitividadUnspecified

More information

Item ID: 42765
DC Identifier: http://oa.upm.es/42765/
OAI Identifier: oai:oa.upm.es:42765
DOI: 10.1109/ISCE.2015.7177825
Deposited by: Memoria Investigacion
Deposited on: 17 Jul 2016 07:28
Last Modified: 17 Jul 2016 07:28
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