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

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

doi:10.1109/ISCAS.2016.7527317

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	ISCAS 2016 - IEEE International Symposium on Circuits and Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	622-625
Number of pages	4
ISBN (Electronic)	9781479953400
DOIs	https://doi.org/10.1109/ISCAS.2016.7527317
State	Published - 29 07 2016
Externally published	Yes
Event	2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada Duration: 22 05 2016 → 25 05 2016

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2016-July
ISSN (Print)	0271-4310

Conference

Conference	2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
Country/Territory	Canada
City	Montreal
Period	22/05/16 → 25/05/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/ISCAS.2016.7527317

Cite this

Lai, Y. K., Ho, C. Y., Freiling, B., & Schumann, T. (2016). Block based depth map estimation algorithm for 2D-to-3D conversion on FPGA. In ISCAS 2016 - IEEE International Symposium on Circuits and Systems (pp. 622-625). Article 7527317 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2016.7527317

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title = "Block based depth map estimation algorithm for 2D-to-3D conversion on FPGA",

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.",

author = "Lai, {Yeong Kang} and Ho, {Chu Yin} and Benjamin Freiling and Thomas Schumann",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 ; Conference date: 22-05-2016 Through 25-05-2016",

year = "2016",

month = jul,

day = "29",

doi = "10.1109/ISCAS.2016.7527317",

language = "英语",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Lai, YK, Ho, CY, Freiling, B & Schumann, T 2016, Block based depth map estimation algorithm for 2D-to-3D conversion on FPGA. in ISCAS 2016 - IEEE International Symposium on Circuits and Systems., 7527317, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., pp. 622-625, 2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016, Montreal, Canada, 22/05/16. https://doi.org/10.1109/ISCAS.2016.7527317

Block based depth map estimation algorithm for 2D-to-3D conversion on FPGA. / Lai, Yeong Kang; Ho, Chu Yin; Freiling, Benjamin et al.
ISCAS 2016 - IEEE International Symposium on Circuits and Systems. Institute of Electrical and Electronics Engineers Inc., 2016. p. 622-625 7527317 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Y1 - 2016/7/29

N2 - 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.

AB - 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.

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

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