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Guided depth filtering to improve the quality of experience for autostereoscopic displays

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HPC-UGen
Abstract
One of the drawbacks of current 3DTV systems are the glasses required to separate the 3D views. This problem can be solved by using autostereoscopic 3D displays, which generates a 3D scene from different viewpoints. These viewpoints are synthesized in the display based on depth information of the scene. However, currently no depth information is available for stereoscopic video. Therefore, depth estimation based on the stereoscopic input is required. This depth estimation should be low-complex and real-time for consumer electronic devices. Due to this low-complexity requirement, the quality of such depth maps will be limited. In this paper, we propose a guided depth filter, which filters the estimated depth map by using the downsampled chroma signal of the corresponding texture view as a guide. This allows to refine the borders of objects which reduces visible inpainting artifacts caused by the view synthesis. The proposed algorithm has been evaluated by expert viewing to show that it is independent of the depth map estimation and view synthesis of the autostereoscopic display.
Keywords
SYSTEM, INFORMATION

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Citation

Please use this url to cite or link to this publication:

Chicago
Van Leuven, Sebastiaan, Glenn Van Wallendael, Robin Bailleul, Jan De Cock, and Rik Van de Walle. 2014. “Guided Depth Filtering to Improve the Quality of Experience for Autostereoscopic Displays.” In IEEE IFIP Network Operations and Management Symposium, 1–6. IEEE.
APA
Van Leuven, Sebastiaan, Van Wallendael, G., Bailleul, R., De Cock, J., & Van de Walle, R. (2014). Guided depth filtering to improve the quality of experience for autostereoscopic displays. IEEE IFIP Network Operations and Management Symposium (pp. 1–6). Presented at the 14th IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE.
Vancouver
1.
Van Leuven S, Van Wallendael G, Bailleul R, De Cock J, Van de Walle R. Guided depth filtering to improve the quality of experience for autostereoscopic displays. IEEE IFIP Network Operations and Management Symposium. IEEE; 2014. p. 1–6.
MLA
Van Leuven, Sebastiaan, Glenn Van Wallendael, Robin Bailleul, et al. “Guided Depth Filtering to Improve the Quality of Experience for Autostereoscopic Displays.” IEEE IFIP Network Operations and Management Symposium. IEEE, 2014. 1–6. Print.
@inproceedings{5731861,
  abstract     = {One of the drawbacks of current 3DTV systems are the glasses required to separate the 3D views. This problem can be solved by using autostereoscopic 3D displays, which generates a 3D scene from different viewpoints. These viewpoints are synthesized in the display based on depth information of the scene. However, currently no depth information is available for stereoscopic video. Therefore, depth estimation based on the stereoscopic input is required. This depth estimation should be low-complex and real-time for consumer electronic devices. Due to this low-complexity requirement, the quality of such depth maps will be limited.
 
In this paper, we propose a guided depth filter, which filters the estimated depth map by using the downsampled chroma signal of the corresponding texture view as a guide. This allows to refine the borders of objects which reduces visible inpainting artifacts caused by the view synthesis. The proposed algorithm has been evaluated by expert viewing to show that it is independent of the depth map estimation and view synthesis of the autostereoscopic display.},
  author       = {Van Leuven, Sebastiaan and Van Wallendael, Glenn and Bailleul, Robin and De Cock, Jan and Van de Walle, Rik},
  booktitle    = {IEEE IFIP Network Operations and Management Symposium},
  isbn         = {9781479909131},
  issn         = {1542-1201},
  language     = {eng},
  location     = {Krakow, Polen},
  pages        = {1--6},
  publisher    = {IEEE},
  title        = {Guided depth filtering to improve the quality of experience for autostereoscopic displays},
  year         = {2014},
}

Web of Science
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