Automatic depth map generation from a single image using segment-adaptive depth merging

Sung In Cho, Kyoungrok Cho, Young Hwan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes an advanced approach to learning-based depth map generation for automatic 2D-to-3D conversion, which utilizes 3D histogram-based segmentation for a segment-adaptive depth merging. By using a segment-adaptive depth merging, the proposed method successfully enhances the accuracy of the conventional learning-based depth map generation.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Consumer Electronics, ICCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages635-636
Number of pages2
ISBN (Electronic)9781479975426
DOIs
StatePublished - 23 Mar 2015
Event2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States
Duration: 9 Jan 201512 Jan 2015

Publication series

Name2015 IEEE International Conference on Consumer Electronics, ICCE 2015

Conference

Conference2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Country/TerritoryUnited States
CityLas Vegas
Period9/01/1512/01/15

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