slugA Global Nearest-Neighbour Depth Learningbased, automatic 2D-to-3D image conversion
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 6
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
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