基于深度图像的虚拟现实多参考视图合成

Sarah Fachada, Daniele Bonatto, Arnaud Schenkel, G. Lafruit
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引用次数: 40

摘要

本文提出了一种在虚拟现实六自由度(6DoF)和360度视频(3DoF+)下,从多个视图及其深度图中合成自由导航视图的方法,包括进入或退出场景对应的视图合成。这样的场景应该支持大型基线视图合成,通常超出了光场显示所涉及的视图合成[1]。我们的方法允许输入无限数量的引用视图,而不是通常的左右引用视图。增加参考视图的数量可以克服诸如遮挡、相机轴的切向表面和低质量深度图中的伪影等问题。我们的性能优于MPEG的参考软件VSRS[2],当使用四个参考视图时,PSNR增益高达2.5 dB。
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DEPTH IMAGE BASED VIEW SYNTHESIS WITH MULTIPLE REFERENCE VIEWS FOR VIRTUAL REALITY
This paper presents a method for view synthesis from multiple views and their depth maps for free navigation in Virtual Reality with six degrees of freedom (6DoF) and 360 video (3DoF+), including synthesizing views corresponding to stepping in or out of the scene. Such scenarios should support large baseline view synthesis, typically going beyond the view synthesis involved in light field displays [1]. Our method allows to input an unlimited number of reference views, instead of the usual left and right reference views. Increasing the number of reference views overcomes problems such as occlusions, tangential surfaces to the cameras axis and artifacts in low quality depth maps. We outperform MPEG’s reference software, VSRS [2], with a gain of up to 2.5 dB in PSNR when using four reference views.
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DEPTH ESTIMATION IN LIGHT FIELD CAMERA ARRAYS BASED ON MULTI-STEREO MATCHING AND BELIEF PROPAGATION LOCAL METHOD OF COLOR-DIFFERENCE CORRECTION BETWEEN STEREOSCOPIC-VIDEO VIEWS DEPTH IMAGE BASED VIEW SYNTHESIS WITH MULTIPLE REFERENCE VIEWS FOR VIRTUAL REALITY ICP WITH DEPTH COMPENSATION FOR CALIBRATION OF MULTIPLE TOF SENSORS 3DTV-CON 2018 Index
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