• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Graphical models >Virtual view synthesis of people from multiple view video sequences
【24h】

Virtual view synthesis of people from multiple view video sequences

机译：从多个视点视频序列中对人进行虚拟视点合成

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper addresses the synthesis of novel views of people from multiple view video. We consider the target area of the multiple camera 3D Virtual Studio for broadcast production with the requirement for free-viewpoint video synthesis for a virtual camera with the same quality as captured video. A framework is introduced for view-dependent optimisation of reconstructed surface shape to align multiple captured images with sub-pixel accuracy for rendering novel views. View-dependent shape optimisation combines multiple view stereo and silhouette constraints to robustly estimate correspondence between images in the presence of visual ambiguities such as uniform surface regions, self-occlusion, and camera calibration error. Free-viewpoint rendering of video sequences of people achieves a visual quality comparable to the captured video images. Experimental evaluation demonstrates that this approach overcomes limitations of previous stereo- and silhouette-based approaches to rendering novel views of moving people.
机译：本文讨论了从多视角视频中人们的新颖观点的综合。我们考虑了用于广播制作的多摄像机3D Virtual Studio的目标区域，要求具有与捕获视频相同质量的虚拟摄像机的自由视点视频合成。引入了一种框架，该框架用于依赖于视图的重构表面形状的优化，以子像素精度对齐多个捕获图像，以呈现新颖的视图。依赖视图的形状优化结合了多个视图立体和轮廓约束，可以在存在视觉歧义（例如均匀的表面区域，自遮挡和相机校准误差）的情况下，稳健地估计图像之间的对应关系。人的视频序列的自由视点渲染可实现与捕获的视频图像相当的视觉质量。实验评估表明，该方法克服了以前基于立体和轮廓的方法来渲染移动人的新颖视图的局限性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号