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Study on Viewpoint-Dependent Time-Multiplexing for Weighted Optimization of 3D Layered Displays

Study on Viewpoint-Dependent Time-Multiplexing for Weighted ...

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European Workshop on Visual Information Processing (EUVIP)

作者： Armand Losfeld Daniele Bonatto Gauthier Lafruit Mehrdad Teratani Laboratories of Image Synthesis and Analysis (LISA) Université Libre de Bruxelles (ULB) Brussels Belgium

3D Layered displays are a type of 3D display that stacks LCD panels to reproduce different viewpoints of a scene without glasses. However, these displays fail at reproducing high-parallax scenes, thereby limiting their Field of View (FoV). To enhance the FoV, various strategies have been employed, including the multiplexing of distinct sets of layered images, i.e. frames. Despite achieving improved quality, this multiplexing method let no control to adjust the quality of the frames depending on its application. By introducing distinct weights for each frame during the optimization process, we expect to improve the frames’ optimization based on the input data, and thus, the quality of the display. This weighted-multiplexing method motivates us to investigate the use of a first weighted-multiplexing method to study exhaustively the impact of the weights on the multiplexing optimization process. The proposed method involves viewpoint-dependent time-multiplexing where each frame is tailored to optimize a specific viewing region within the FoV. To define the weights of each frame, three weighted approaches are then proposed. Three objective evaluations and one subjective comparison are presented in the study.

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MPEG Immersive Video tools for Light Field Head Mounted Displays

MPEG Immersive Video tools for Light Field Head Mounted Disp...

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IEEE Visual Communications and image Processing (VCIP)

作者： Daniele Bonatto Grégoire Hirt Alexander Kvasov Sarah Fachada Gauthier Lafruit Laboratories of Image Synthesis and Analysis Université Libre de Bruxelles Brussels Belgium CREAL Lausanne Switzerland

ISBN: (纸本)9781728173221

Light field displays project hundreds of micro-parallax views for users to perceive 3D without wearing glasses. It results in gigantic bandwidth requirements if all views would be transmitted, even using conventional video compression per view. MPEG Immersive Video (MIV) follows a smarter strategy by transmitting only key images and some metadata to synthesize all the missing views. We developed (and will demonstrate) a real-time Depth image Based Rendering software that follows this approach for synthesizing all light field micro-parallax views from a couple of RGBD input views.

关键词： Three-dimensional displays Visual communication Transform coding Streaming media Video compression Metadata Rendering (computer graphics)

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A Calibration Method for Subaperture Views of Plenoptic 2.0 Camera Arrays

A Calibration Method for Subaperture Views of Plenoptic 2.0 ...

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IEEE Workshop on Multimedia Signal Processing

作者： Sarah Fachada Armand Losfeld Takanori Senoh Gauthier Lafruit Mehrdad Teratani Laboratories of Image Synthesis and Analysis Université Libre de Bruxelles Brussels Belgium School of Science and Technology for Future Life Tokyo Denki University Tokyo Japan

ISBN: (纸本)9781665432894

We present a novel methodology to precisely calibrate the subaperture views of an array of plenoptic 2.0 cameras. Such cameras consist of a micro lens array, and the image captured through them is a lenslet image that can be converted to a dense set of pinhole views, the so-called subaperture images. This cam-era array provides several dense multiview images at some sparse points of 3D space. To find the relative position of those views, simply using structure-from-motion creates misalignments due to the small disparities within each set. Additionally, a traditional calibration using calibration patterns will also fail due to the complicated objectives of plenoptic 2.0 cameras and artifacts when they are converted to subaperture views. In this paper, we propose two calibration steps (a) to register the sparse central subaperture views using Structure-from-Motion which makes it robust to artifacts in the subaperture views, and (b) to register all dense multiview sets per plenoptic camera using camera’s lenses specifications, disparity and distance to the scene. These two steps are followed by a novel merging process of the former registrations, to achieve precise calibration parameters for all the subaperture views of the multi-plenoptic array. Experimental results objectively and subjectively demonstrate high accuracy of the calibration. We show a 10% smaller reprojection error than using a naive structure-from-motion approach and verify that our method is suitable for high precision view synthesis applications such as virtual reality and holography.

关键词： Three-dimensional displays Array signal processing Conferences Merging Virtual reality Holography Cameras

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