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All Journal Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics
Mounesh V M
C/O Dr M N Sidhanti, Panchakacheri Oni
Computer Science & IT Electrical & Electronics Engineering Engineering

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A Global Nearest-Neighbour Depth Estimation-based Automatic 2D-to-3D Image and Video Conversion Anusha M Sidhanti; Jyothsna Madam; Mounesh V M
Bulletin of Electrical Engineering and Informatics Vol 3, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.151 KB) | DOI: 10.11591/eei.v3i3.274

Abstract

The proposed work is to present a new method based on the radically different approach of learning the 2D-to-3D conversion from examples. It is based on lobally estimating the entire depth map of a query image directly from a repository of 3D images (image depth pairs or stereo pairs) using a nearest-neighbour regression type idea.
A Global Nearest-Neighbour Depth Estimation-based Automatic 2D-to-3D Image and Video Conversion Anusha M Sidhanti; Jyothsna Madam; Mounesh V M
Bulletin of Electrical Engineering and Informatics Vol 3, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v3i3.274

Abstract

The proposed work is to present a new method based on the radically different approach of learning the 2D-to-3D conversion from examples. It is based on lobally estimating the entire depth map of a query image directly from a repository of 3D images (image depth pairs or stereo pairs) using a nearest-neighbour regression type idea.
A Global Nearest-Neighbour Depth Estimation-based Automatic 2D-to-3D Image and Video Conversion Anusha M Sidhanti; Jyothsna Madam; Mounesh V M
Bulletin of Electrical Engineering and Informatics Vol 3, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.151 KB) | DOI: 10.11591/eei.v3i3.274

Abstract

The proposed work is to present a new method based on the radically different approach of learning the 2D-to-3D conversion from examples. It is based on lobally estimating the entire depth map of a query image directly from a repository of 3D images (image depth pairs or stereo pairs) using a nearest-neighbour regression type idea.
Co-Authors Anusha M Sidhanti Jyothsna Madam