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文章基本信息

  • 标题:Real-time RGB-D image stitching using multiple Kinects for improved field of view
  • 作者:Hengyu Li ; Hang Liu ; Ning Cao
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2017
  • 卷号:14
  • 期号:2
  • DOI:10.1177/1729881417695560
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:This article concerns the problems of a defective depth map and limited field of view of Kinect-style RGB-D sensors. An anisotropic diffusion based hole-filling method is proposed to recover invalid depth data in the depth map. The field of view of the Kinect-style RGB-D sensor is extended by stitching depth and color images from several RGB-D sensors. By aligning the depth map with the color image, the registration data calculated by registering color images can be used to stitch depth and color images into a depth and color panoramic image concurrently in real time. Experiments show that the proposed stitching method can generate a RGB-D panorama with no invalid depth data and little distortion in real time and can be extended to incorporate more RGB-D sensors to construct even a 360° field of view panoramic RGB-D image.
  • 关键词:Depth image stitching; RGB-D panorama; improved field of view; depth map hole filling; Kinect; image registration
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