Towards Removing Ghost-Components from Visual-Hull Estimations
Shape from Silhouette (SFS) are methods used to estimate the 3D shape of objects from their silhouettes. The reconstructed shape, also called Visual Hull (VH), is the maximum volume which yields the silhouettes. As this volume is an upper bound, it contains objects and artifacts. Ghost connected components coming from artifacts are parts empty of real object They provide non-pertinent data that interfere with many applications of SFS: motion capture, free-viewpoint rendering, etc. The more the objects number increases, the more ghost-components appears. The problem is even worst with a small number of cameras. In this paper, we address the issue of detecting and removing ghost-components from any Visual Hull. Our method only needs cameras calibration and silhouette data. A formal description and several practical experimentation, show the efficiency of our approach. A comparison with previous methods underlines more accurate results, even using few cameras.
Visual Hull Shape From Silhouette Artifacts removing
Brice Michoud Erwan Guillou Saida Bouakaz Mathieu Barnachon Alexandre Meyer
University de Lyon, CNRS University Lyon 1, LIRIS, UMR5205, F-69622, France
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
428-434
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）