loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Lei Zhang

Affiliation: Lenovo Research Center, Lenovo Group Ltd., Beijing, China

Keyword(s): Depth Map, Stereoscopic, Structured Depth Template.

Abstract: We propose a new stereoscopic image / video conversion algorithm by using a two-directional structured depth model matching method. This work is aimed at providing an effect depth map to a 2D scene. By analyzing structure features of the inputting image frame, a kind of depth model called structured depth model is estimated to be as an initial depth map. Then the final depth map can be obtained by a depth post processing. Subjective evaluation is performed by comparing original depth maps generated manually and generated from the proposed method.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.221.53.209

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Zhang, L. (2019). Depth Generation using Structured Depth Templates. In Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - SIGMAP; ISBN 978-989-758-378-0; ISSN 2184-3236, SciTePress, pages 326-330. DOI: 10.5220/0007916903260330

@conference{sigmap19,
author={Lei Zhang.},
title={Depth Generation using Structured Depth Templates},
booktitle={Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - SIGMAP},
year={2019},
pages={326-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007916903260330},
isbn={978-989-758-378-0},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - SIGMAP
TI - Depth Generation using Structured Depth Templates
SN - 978-989-758-378-0
IS - 2184-3236
AU - Zhang, L.
PY - 2019
SP - 326
EP - 330
DO - 10.5220/0007916903260330
PB - SciTePress