NDLI: Fast 2D to 3D conversion using a clustering-based hierarchical search in a machine learning framework

Content Provider	IEEE Xplore Digital Library
Author	Herrera, J.L. del-Blanco, C.R. Garcia, N.
Copyright Year	2014
Description	Author affiliation: Grupo de Tratamiento de Imagenes, Univ. Politec. de Madrid, Madrid, Spain (Herrera, J.L.; del-Blanco, C.R.; Garcia, N.)
Abstract	Automatic 2D-to-3D conversion is an important application for filling the gap between the increasing number of 3D displays and the still scant 3D content. However, existing approaches have an excessive computational cost that complicates its practical application. In this paper, a fast automatic 2D-to-3D conversion technique is proposed, which uses a machine learning framework to infer the 3D structure of a query color image from a training database with color and depth images. Assuming that photometrically similar images have analogous 3D structures, a depth map is estimated by searching the most similar color images in the database, and fusing the corresponding depth maps. Large databases are desirable to achieve better results, but the computational cost also increases. A clustering-based hierarchical search using compact SURF descriptors to characterize images is proposed to drastically reduce search times. A significant computational time improvement has been obtained regarding other state-of-the-art approaches, maintaining the quality results.
Starting Page	1
Ending Page	4
File Size	1581774
Page Count	4
File Format	PDF
ISBN	9781479947584
ISSN	2161203X
DOI	10.1109/3DTV.2014.6874736
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-02
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	3D inference Estimation Color fast conversion 2D-to-3D conversion machine learning Three-dimensional displays Databases Image color analysis Clustering algorithms SURF descriptors database clustering hierarchical search Computational efficiency
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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