首页> 外文会议>Asian conference on computer vision >VR models from epipolar images: an approach to minimize errors in synthesized images
【24h】

VR models from epipolar images: an approach to minimize errors in synthesized images

机译:ePipolar图像的VR模型:一种最大限度地减少合成图像错误的方法

获取原文
获取外文期刊封面目录资料

摘要

A new paradigm, the minimization of errors in synthesized images, is introduced to organically combine Computer Vision and Computer Graphics for Virtual Reality applications. Based on it , a powerful algorithm, called the strip DP algorithm, is proposed for epipooar image analysis. The algorithm reconstructs VR models from epipolar images so that the error in the images synthesized from the extracted model is minimized while geometrical consistency is maintained. The dynamic programming technique, adopted as the optimization engine, yiekds complete optimization at reasonable computation cost in a robust way. The strip DP algorithm is a multi-pass solution to occlusion problems, and, in each pass, it extracts connecting feature lines that are ont occluded by undetermined feature lines. Expeirments demonstrate its feasibility.
机译:一种新的范例,综合图像中的错误最小化,被引入到有机组合计算机视觉和计算机图形学以进行虚拟现实应用。基于它,提出了一种称为带DP算法的强大算法,用于EPIPOOAR图像分析。该算法从ePipolar图像重建VR模型,使得从提取的模型合成的图像中的误差被最小化,而几何一致性保持在保持几何一致性。作为优化引擎采用的动态编程技术,Yiekds以合理的计算成本以强大的方式完成优化。条带DP算法是一个多通物解决方案,用于遮挡问题,并且在每次通过时,它提取由未确定的特征线遮挡的连接功能线。分销证明了其可行性。

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