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一种用于动态场景的全景表示方法
引用本文:杜威,李华. 一种用于动态场景的全景表示方法[J]. 计算机学报, 2002, 25(9): 968-975
作者姓名:杜威  李华
作者单位:中国科学院计算技术研究所智能信息处理重点实验室,北京,100080
基金项目:国家“九七三”重点基础研究发展规划项目 (G19980 3 0 60 0 ),其子课题“吴方法在计算机图形学和计算机视觉中的应用”以及中国科学院计算技术研究所青年创新基金的资助
摘    要:针对全景图无法表示动态场景这一问题,提出一种用于动态场景的全景图表示方法,将视频纹理和全景图结合起来,构造动态全景图。系统首先将一系列定点拍摄的图像拼接成全景图,然后用摄像机拍摄场景中周期或随机运动的物体,提取视频纹理,最后视频纹理与全景图对准并融合,生成动态全景图。动态全景图既保持静态全景图全视角漫游的优点,又使得场景具有动态的特征,极大地增强漫游的真实感。

关 键 词:动态场景 全景表示方法 全景图 视频纹理 运动估计 图像对准 图像绘制 图像拼接 图像处理
修稿时间:2001-08-31

A Novel Panoramic Representation for Dynamic Scene
DU Wei LI Hua. A Novel Panoramic Representation for Dynamic Scene[J]. Chinese Journal of Computers, 2002, 25(9): 968-975
Authors:DU Wei LI Hua
Abstract:This paper presents a novel system to combine image mosaics with video texture. The system first composes a sequence of images into a final mosaic. A dominant motion estimation algorithm is used to register images, and outlier mask is detected to avoid bias. After registration, the images are warped and composed into a complete mosaic. To avoid producing blurred results by moving objects, authors employ a quad tree based construction algorithm that segments the overlapping section into small regions and samples each pixel in these regions from a single source image. Then, some periodic/random moving objects in scene are captured into video clips, and the system converts these video clips into video texture. Background Modeling and a feature based metamorphosing technology are used to improve the quality of video texture generated. At last, video texture is registered with image mosaics and both are combined into a compact representation. The system infuses image mosaics with dynamic qualities, while keeping the advantages of providing full view of scene (360 degree). For example, imagine a scene with a flag. Not only the system can be used to construct a panoramic image mosaic to look around, but also find the flag in the mosaic is flapping in breeze.
Keywords:image based rendering   image mosaics   video texture   motion estimation   image registration
本文献已被 CNKI 维普 万方数据 等数据库收录!
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