Algorithms for Efficient Generation of Ray-traced Animation Frames

9223803霍奇斯动画序列可以被认为是从连续变化的场景中采样的一系列图像(帧)。时间采样率很高，每秒24-30帧，因此任何特定的帧通常与它之前和之后的帧非常相似。这种相似性被称为帧到帧或时间一致性。大多数计算机图形图像是作为动画帧序列的一部分生成的。然而，生成这些图像的通常方法是渲染动画中的每一帧，就像它是单个孤立的图像一样。这项研究的目的是开发更快的算法，通过利用时间相关性来生成光线跟踪图像的动画序列。这里的想法是，当光线跟踪序列中的特定帧时获得的信息可以用于加速附近其他帧的光线跟踪。这个项目的目标是开发有效的算法来从光线跟踪参考帧推断一个或多个动画帧的像素值。参考帧可能已经被完全光线跟踪或者包含光线跟踪和推断的像素值的组合。***

9223803 Hodges An animation sequence may be thought of as a series of images (frames) sampled from a continuously changing scene. The temporal sampling rate is high, 24-30 frames per second, so that any particular frame is usually very similar to the frame that preceded and succeeded it. This similarity is known as frame-to- frame or temporal coherence. The majority of computer graphics images are generated as part of a sequence of animation frames. The usual approach for producing these images, however, is to render each frame in an animation as if it were a single, isolated image. The purpose of this research is to develop faster algorithms for the generation of animated sequences of ray-traced images by exploiting temporal coherence. The idea here is that the information gained when ray-tracing a particular frame in a sequence may be used to speed up the ray-tracing of other nearby frames. the goal of this project is the development of efficient algorithms to infer the pixel values of one or more animation frames from a ray-traced reference frame. The reference frame may have been fully ray-traced or contain a combination of ray- traced and inferred pixel values. ***