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Creating Walk-Through Images from a Video Sequence of a Dynamic Scene

机译:从动态场景的视频序列创建通过图像

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Tour into the picture (TIP), proposed by Horry et at. (Horry, Anjyo, & Arai, 1997, ACM SIGGRAPH '97 Conference Proceedings, 225-232) is a method for generating a sequence of walk-through images from a single reference image. By navigating a 3D scene model constructed from the image, TIP provides convincing 3D effects. This paper presents a comprehensive scheme for creating walk-through images from a video sequence by generalizing the idea of TIP. To address various problems in dealing with a video sequence rather than a single image, the proposed scheme is designed to have the following features: First, it incorporates a new modeling scheme based on a vanishing circle identified in the video, assuming that the input video contains a negligible amount of motion parallax effects and that dynamic objects move on a flat terrain. Second, we propose a novel scheme for automatic background detection from the video, based on 4-parameter motion model and statistical background color estimation. Third, to assist the extraction of static or dynamic foreground objects from video, we devised a semiautomatic boundary-segmentation scheme based on enhanced lane (Kang & Shin, 2002, Graphical Models, 64(5), 282-303). The purpose of this work is to let users experience the feel of navigating into a video sequence with their own interpretation and imagination about a given scene. The proposed scheme covers various types of video films of dynamic scenes, such as sports coverage, cartoon animation, and movie films, in which objects are continuously changing their shapes and locations. It can also be used to produce a variety of synthetic video sequences by importing and merging dynamic foreign objects with the original video.
机译:参观图片(TIP),由Horry等人在上提出。 (Horry,Anjyo,&Arai,1997,ACM SIGGRAPH '97 Conference Proceedings,225-232)是一种用于从单个参考图像生成一系列漫游图像的方法。通过导航从图像构造的3D场景模型,TIP提供了令人信服的3D效果。本文提出了一种通过概括TIP想法从视频序列创建漫游图像的综合方案。为了解决在处理视频序列而不是单个图像时遇到的各种问题,提出的方案被设计为具有以下特征:首先,它假设视频是输入视频,则基于视频中标识的消失圆合并了新的建模方案。包含可忽略不计的运动视差效果,并且动态对象在平坦的地形上移动。其次,我们提出了一种基于4参数运动模型和统计背景色估计的视频自动背景检测新方案。第三,为了帮助从视频中提取静态或动态前景对象,我们设计了一种基于增强车道的半自动边界分割方案(Kang&Shin,2002,Graphical Models,64(5),282-303)。这项工作的目的是让用户以自己对给定场景的解释和想象力来体验导航到视频序列中的感觉。提议的方案涵盖了各种类型的动态场景的视频电影,例如体育报道,卡通动画和电影电影,其中物体不断变化其形状和位置。通过导入动态异物并将其与原始视频合并,它还可用于生成各种合成视频序列。

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