• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Image Processing >BAYESIAN BASED VIEW SYNTHESIS FOR MULTI-PLANAR STRUCTURES
【24h】

BAYESIAN BASED VIEW SYNTHESIS FOR MULTI-PLANAR STRUCTURES

机译：基于贝叶斯的视图为多平面结构的综合

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With the rapid development of mobile applications in recent years, there is a strong desire on light weight algorithm for view synthesis using uncalibrated images and limited geometry information. To address this challenge, we propose a Bayesian based view synthesis framework to support the rendering of complex scene with multiple planar structures. In this framework, we integrate image segmentation, reference plane selection and hole filling with a Bayesian formulation to perform view synthesis without using 3D geometry information. More specifically, we partition every reference image into multiple planes, estimate geometric and photometric parameters for each plane, synthesize the novel view by Bayesian modeling using selected reference planes, and refine the rendered image by a hole filling scheme. The entire view synthesis process is executed in an iterative manner to pursue high quality visual results. The experimental results show that the proposed method is able to achieve desired performance with less distortion and higher resolution.
机译：随着近年来移动应用的快速发展，使用未校准图像和有限的几何信息来观看综合的轻量级算法存在强烈的愿望。为了解决这一挑战，我们提出了一种基于贝叶斯的视图综合框架，支持具有多个平面结构的复杂场景的渲染。在该框架中，我们与贝叶斯配方集成了图像分割，参考平面选择和孔填充，以在不使用3D几何信息的情况下执行视图合成。更具体地，我们将每个参考图像分配到多个平面中，为每个平面估计几何和光度参数，通过使用所选参考平面通过贝叶斯建模合成新颖视图，并通过孔填充方案来优化渲染图像。整个视图合成过程以迭代方式执行以追求高质量的视觉结果。实验结果表明，该方法能够以较少的变形和更高分辨率达到所需性能。

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