Block based depth map estimation algorithm for 2D-to-3D conversion on FPGA

Yeong Kang Lai, Chu Yin Ho, Benjamin Freiling, Thomas Schumann

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

Abstract

3D vision is becoming increasingly important, in major motion pictures as well as in home entertainment. Depth map generation plays a major role in 2D-to-3D conversion and acts as a precursory stage to Depth Based Image Rendering (DIBR). This paper presents a novel algorithm for depth map generation using a block based approach. The algorithm is composed of 2 parts: Background depth map generation and moving object detection & filling. The proposed algorithm has been implemented both in software as well as in VLSI.

Original languageEnglish
Title of host publicationISCAS 2016 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages622-625
Number of pages4
ISBN (Electronic)9781479953400
DOIs
StatePublished - 29 07 2016
Externally publishedYes
Event2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada
Duration: 22 05 201625 05 2016

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2016-July
ISSN (Print)0271-4310

Conference

Conference2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
Country/TerritoryCanada
CityMontreal
Period22/05/1625/05/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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