slugA Global Nearest-Neighbour Depth Learningbased, automatic 2D-to-3D image conversion

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 globally estimating the entire depth map of a query image directly from a repository of 3D images (image+depth pairs or stereopairs) using a nearest-neighbor regression type idea.

Authors and Affiliations

Ms. Manasa. G. Kambi, Prof. Nagabhushan Katte

Keywords

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  • EP ID EP18280
  • DOI -
  • Views 316
  • Downloads 10

How To Cite

Ms. Manasa. G. Kambi, Prof. Nagabhushan Katte (2014). slugA Global Nearest-Neighbour Depth Learningbased, automatic 2D-to-3D image conversion. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(6), -. https://europub.co.uk/articles/-A-18280