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ON THE PERFORMANCE OF DIBR METHODS WHEN USING DEPTH MAPS FROM STATE-OF-THE-ART STEREO MATCHING ALGORITHMS

Abstract: 

In this paper we compare the quality of synthesized views produced by four DIBR methods when fed by depth maps estimated by five state-of-the-art stereo matching algorithms. Also, we compute the correlation between four popular metrics for ranking stereo matching algorithms and two metrics commonly used to evaluate synthesized views (PSNR and SSIM) plus one specific for DIBR. Among our findings, we highlight that (i) PSNR and SSIM have a weak correlation with common stereo matching metrics, (ii) using ground-truth depth does not lead necessarily to the best DIBR result; and (iii) estimated depth maps present artifacts that affect differently DIBR methods.

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Paper Details

Authors:
Adriano Quilião de Oliveira, Thiago Lopes Trugillo da Silveira, Marcelo Walter, Cláudio Rosito Jung
Submitted On:
13 May 2019 - 9:19pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
de Oliveira, Adriano Q.
Paper Code:
3107
Document Year:
2019
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ON THE PERFORMANCE OF DIBR METHODS WHEN USING DEPTH MAPS FROM STATE-OF-THE-ART STEREO MATCHING ALGORITHMS

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[1] Adriano Quilião de Oliveira, Thiago Lopes Trugillo da Silveira, Marcelo Walter, Cláudio Rosito Jung, "ON THE PERFORMANCE OF DIBR METHODS WHEN USING DEPTH MAPS FROM STATE-OF-THE-ART STEREO MATCHING ALGORITHMS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4499. Accessed: Jul. 20, 2019.
@article{4499-19,
url = {http://sigport.org/4499},
author = {Adriano Quilião de Oliveira; Thiago Lopes Trugillo da Silveira; Marcelo Walter; Cláudio Rosito Jung },
publisher = {IEEE SigPort},
title = {ON THE PERFORMANCE OF DIBR METHODS WHEN USING DEPTH MAPS FROM STATE-OF-THE-ART STEREO MATCHING ALGORITHMS},
year = {2019} }
TY - EJOUR
T1 - ON THE PERFORMANCE OF DIBR METHODS WHEN USING DEPTH MAPS FROM STATE-OF-THE-ART STEREO MATCHING ALGORITHMS
AU - Adriano Quilião de Oliveira; Thiago Lopes Trugillo da Silveira; Marcelo Walter; Cláudio Rosito Jung
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4499
ER -
Adriano Quilião de Oliveira, Thiago Lopes Trugillo da Silveira, Marcelo Walter, Cláudio Rosito Jung. (2019). ON THE PERFORMANCE OF DIBR METHODS WHEN USING DEPTH MAPS FROM STATE-OF-THE-ART STEREO MATCHING ALGORITHMS. IEEE SigPort. http://sigport.org/4499
Adriano Quilião de Oliveira, Thiago Lopes Trugillo da Silveira, Marcelo Walter, Cláudio Rosito Jung, 2019. ON THE PERFORMANCE OF DIBR METHODS WHEN USING DEPTH MAPS FROM STATE-OF-THE-ART STEREO MATCHING ALGORITHMS. Available at: http://sigport.org/4499.
Adriano Quilião de Oliveira, Thiago Lopes Trugillo da Silveira, Marcelo Walter, Cláudio Rosito Jung. (2019). "ON THE PERFORMANCE OF DIBR METHODS WHEN USING DEPTH MAPS FROM STATE-OF-THE-ART STEREO MATCHING ALGORITHMS." Web.
1. Adriano Quilião de Oliveira, Thiago Lopes Trugillo da Silveira, Marcelo Walter, Cláudio Rosito Jung. ON THE PERFORMANCE OF DIBR METHODS WHEN USING DEPTH MAPS FROM STATE-OF-THE-ART STEREO MATCHING ALGORITHMS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4499