Automatic Head-Size Equalization in Panorama Images for Video Conferencing

In panorama images captured by omni-directional cameras during video conferencing, the image sizes of the people around the conference table are not uniform due to the varying distances to the camera. Spatially-varying-uniform (SVU) scaling functions have been proposed to warp a panorama image smoothly such that the participants have similar sizes on the image. To generate the SVU function, one needs to segment the table boundaries, which was generated manually in the previous work. In this paper, we propose a robust algorithm to automatically segment the table boundaries. To ensure the robustness, we apply a symmetry voting scheme to filter out noisy points on the edge map. Trigonometry and quadratic fitting methods are developed to fit a continuous curve to the remaining edge points. We report experimental results on both synthetic and real images.

tr-2005-48.pdf
PDF file

Publisher  Institute of Electrical and Electronics Engineers, Inc.
© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Details

TypeTechReport
URLhttp://www.ieee.org/
NumberMSR-TR-2005-48
Pages42
InstitutionMicrosoft Research
> Publications > Automatic Head-Size Equalization in Panorama Images for Video Conferencing