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AUTO-STEREOSCOPIC RENDERING QUALITY ASSESSMENT DEPENDING ON POSITIONING ACCURACY OF IMAGE SENSORS IN MULTI-VIEW CAPTURE SYSTEMS

Topics: 3D Image Capture; Audio and Video Quality Assessment; Device Calibration, Characterization and Modeling; Image Formation, Acquisition Devices and Sensors; New Capturing and Printing Devices

Authors: M. Ali-Bey ; S. Moughamir and N. Manamanni

Affiliation: Reims Champagne-Ardenne University, France

Keyword(s): 3DTV, Multi-view capture, Auto-stereoscopy, 3D rendering quality assessment, Accurate positioning.

Related Ontology Subjects/Areas/Topics: 3D Image Capture ; Audio and Video Quality Assessment ; Computer Vision, Visualization and Computer Graphics ; Device Calibration, Characterization and Modeling ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Multimedia ; Multimedia Systems and Applications ; New Capturing and Printing Devices ; Telecommunications

Abstract: Our interest in this paper concerns the quality assessment of the 3D rendering in a production process of auto-stereoscopic images using a multi-view camera with parallel and decentring configuration. The 3D rendering quality problem for such process is related to the coherence of the captured images of different viewpoints. This coherence depends, among others, on a rigorous respect of the shooting and rendering geometries. Assuming perfect rendering conditions, we are rather interested in the shooting geometry and image sensors positioning. This latter must be accurate enough to produce images that are quite coherent with each other and contribute fully to achieve a quality 3D content. The purpose of this paper is precisely to study the positioning accuracy of the different geometrical parameters of shooting based on a quality assessment of auto-stereoscopic rendering. We propose two different approaches for assessment of the 3D rendering quality. The first one is based on visual a ssessment tests of the 3D rendering quality by human observers. The second approach is based on the acquired scientific knowledge on human visual acuity. We present some simulation and experimental tests as well as the obtained results and their repercussion on the positioning accuracy of the shooting parameters. (More)

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Paper citation in several formats:
Ali-Bey, M.; Moughamir, S. and Manamanni, N. (2011). AUTO-STEREOSCOPIC RENDERING QUALITY ASSESSMENT DEPENDING ON POSITIONING ACCURACY OF IMAGE SENSORS IN MULTI-VIEW CAPTURE SYSTEMS. In Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP; ISBN 978-989-8425-46-1, SciTePress, pages 39-46. DOI: 10.5220/0003325200390046

@conference{imagapp11,
author={M. Ali{-}Bey. and S. Moughamir. and N. Manamanni.},
title={AUTO-STEREOSCOPIC RENDERING QUALITY ASSESSMENT DEPENDING ON POSITIONING ACCURACY OF IMAGE SENSORS IN MULTI-VIEW CAPTURE SYSTEMS},
booktitle={Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP},
year={2011},
pages={39-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003325200390046},
isbn={978-989-8425-46-1},
}

TY - CONF

JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP
TI - AUTO-STEREOSCOPIC RENDERING QUALITY ASSESSMENT DEPENDING ON POSITIONING ACCURACY OF IMAGE SENSORS IN MULTI-VIEW CAPTURE SYSTEMS
SN - 978-989-8425-46-1
AU - Ali-Bey, M.
AU - Moughamir, S.
AU - Manamanni, N.
PY - 2011
SP - 39
EP - 46
DO - 10.5220/0003325200390046
PB - SciTePress