光场视频帧的三维客观质量评价

R. R. Tamboli, P. A. Kara, A. Cserkaszky, A. Barsi, M. Martini, Balasubramanyam Appina, Sumohana S. Channappayya, S. Jana
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引用次数: 4

摘要

随着光场显示和相机技术的快速发展,光场内容创作、可视化、编码和质量评估等方面的研究已处于萌芽状态;它已经出现,并开始吸引科学界的很大一部分人。光场显示器能够同时为多个用户提供裸眼3D体验,为光场图像内容的主客观质量评价开辟了新的途径,视频也成为这种质量评价方法的研究对象。但需要指出的是,虽然静态光场内容显然受到了相对较多的关注,但对光场视频内容的研究仍有很大的空白。本文给出了从光场视频内容中提取关键帧的客观质量评估结果。为此,我们使用自己的全参考3D客观质量度量。
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3D OBJECTIVE QUALITY ASSESSMENT OF LIGHT FIELD VIDEO FRAMES
With the rapid advances in light field displays and cameras, research in light field content creation, visualization, coding and quality assessment is now beyond a state of emergence; it has already emerged and started attracting a significant part of the scientific community. The capability of light field displays to offer glasses-free 3D experience simultaneously for multiple users has opened new avenues in subjective and objective quality assessment of light field image content, and video is also becoming research target of such quality evaluation methods. Yet it needs to be stated that while static light field contents have evidently received relatively more attention, the research on light field video content still remains largely unexplored. In this paper, we present results of the objective quality assessment of key frames extracted from light field video content. To this end, we use our own full-reference 3D objective quality metric.
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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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