Background Estimation and Removal Based on Range and Color

  title={Background Estimation and Removal Based on Range and Color},
  author={Gaile G. Gordon and Trevor Darrell and Michael Harville and John Woodfill},
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly relevant as inexpensive, real-time, passive range systems become more accessible through novel hardware and increased CPU processing speeds. Range is a powerful signal for segmentation which is largely independent of color, and hence not effected by the classic color segmentation problems of shadows and objects with… CONTINUE READING
Highly Cited
This paper has 192 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 112 extracted citations

193 Citations

Citations per Year
Semantic Scholar estimates that this publication has 193 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.

Similar Papers

Loading similar papers…