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Adaptive parallax control for multi-view stereo panoramas

机译:用于多视图立体声Panoramas的自适应视差控制

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We describe techniques for stereo panoramic image capture and rendering that are part of a personal panoramic virtual environment system. We examine the use of stereo shutter-glasses and several recently developed autostereoscopic (AS) displays to improve the sense of immersion. The stereo panorama pair is created by stitching strips that are sampled from images captured with swing camera panoramic imaging system. We apply Peleg's disparity adjustment algorithm to the generated stereo panorama to achieve large disparity (horizontal parallax) of far away scenes and smaller disparity of closer scenes for stereo perception. Unfortunately, vertical parallax effects in the stereo panorama still occur, causing display artifacts and problems in human stereo fusion. To overcome these problems, we first present a general image capture model, specify geometrical parameters, and describe the panorama generating process. We then describe an efficient stitching algorithm that corrects dynamic exposure variation and removes moving objects without manual selection of ground-truth images. We present expressions for the horizontal and vertical parallax, describe parallax measurement techniques, and develop an adaptive vertical and horizontal parallax control algorithm for rendering in different viewing directions. We present a simple subjective test of stereo panoramas rendered on AS and other stereo displays, and discuss the relative quality of each.
机译:我们描述了立体声全景图像捕获和渲染的技术,这是个人全景虚拟环境系统的一部分。我们检查使用立体声百叶窗,最近开发的自动立体(AS)显示出来,以提高浸入感。立体声全景对由拼接的条带创建,这些条带采样,通过摆动摄像机全景成像系统捕获的图像采样。我们将PELEG的差距调整算法应用于所生成的立体声全景,以实现远方场景的大差异(水平视差)和立体感知的更近场景的较小视差。不幸的是,立体声全景中的垂直视差效果仍然发生,导致人体立体声融合中的展示伪影和问题。为了克服这些问题,我们首先介绍一般的图像捕获模型,指定几何参数,并描述全景生成过程。然后,我们描述了一种高效的拼接算法,可纠正动态曝光变化,并在没有手动选择地面图像的情况下删除移动物体。我们向水平和垂直视差提供表达式,描述视差测量技术,并开发自适应垂直和水平视差控制算法,以便以不同的观看方向渲染。我们展示了一个简单的主观测试,渲染的STEREO Panoramas呈现为AS和其他立体声显示器,并讨论每个的相对质量。

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