Light Field Rendering
Light Field Rendering
复制标题
光场渲染
DOI：
10.1145/3596711.3596759
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
P. Hanrahan
中科院分区：
文献类型：
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作者：
M. Levoy;P. Hanrahan
已经提出了许多技术，通过重新显示先前渲染或数字化的视图来飞行场景。还提出了通过扭曲输入图像、使用深度信息或多个图像之间的对应关系来在视图之间进行插值的技术。在本文中，我们描述了一种简单而稳健的方法，可以从任意相机位置生成新视图，而不需要深度信息或特征匹配，只需对可用图像进行组合和重新采样。该技术的关键在于将输入图像解释为四维函数（光场）的二维切片。这个功能完全体现了光线在固定照明的静态场景中通过无遮挡空间的流动。我们描述了光场的采样表示，允许有效地创建和显示向内和向外看的视图。我们已经从渲染和数字化图像的大阵列中创建了光场。后者是使用安装在计算机控制的龙门上的摄像机获得的。一旦创建了光场，就可以通过在适当的方向上提取切片来实时构建新的视图。由于该方法的成功取决于具有高采样率，因此我们描述了一个压缩系统，该压缩系统能够将我们产生的光场压缩100:1以上，并且保真度损失很小。我们还解决了创建过程中的抗混叠问题，以及切片提取过程中的重采样问题。
A number of techniques have been proposed for flying through scenes by redisplaying previously rendered or digitized views. Techniques have also been proposed for interpolating between views by warping input images, using depth information or correspondences between multiple images. In this paper, we describe a simple and robust method for generating new views from arbitrary camera positions without depth information or feature matching, simply by combining and resampling the available images. The key to this technique lies in interpreting the input images as 2D slices of a 4D function - the light field. This function completely characterizes the flow of light through unobstructed space in a static scene with fixed illumination. We describe a sampled representation for light fields that allows for both efficient creation and display of inward and outward looking views. We have created light fields from large arrays of both rendered and digitized images. The latter are acquired using a video camera mounted on a computer-controlled gantry. Once a light field has been created, new views may be constructed in real time by extracting slices in appropriate directions. Since the success of the method depends on having a high sample rate, we describe a compression system that is able to compress the light fields we have generated by more than a factor of 100:1 with very little loss of fidelity. We also address the issues of antialiasing during creation, and resampling during slice extraction.
关于抑制约束误差的爱因斯坦方程离散格式
DOI：
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发表时间：
2020
期刊：
影响因子：
--
作者：
石井 将大;照屋 唯紀;安田 貴徳;Sabrou Saitoh;H. Kawasaki;星野秀朋，佐藤慧，米田元
通讯作者：
星野秀朋，佐藤慧，米田元