Does Colorspace Transformation Make Any Difference on Skin Detection?

@inproceedings{Shin2002DoesCT,
  title={Does Colorspace Transformation Make Any Difference on Skin Detection?},
  author={Min C. Shin and Kyong I. Chang and Leonid V. Tsap},
  booktitle={WACV},
  year={2002}
}
Skin detection is an important process in many of computer vision algorithms. It usually is a process that starts at a pixel-level, and that involves a pre-process of colorspace transformation followed by a classification process. A colorspace transformation is assumed to increase separability between skin and non-skin classes, to increase similarity among different skin tones, and to bring a robust performance under varying illumination conditions, without any sound reasonings. In this work… CONTINUE READING
Highly Cited
This paper has 180 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 111 extracted citations

An early fire-detection method based on image processing

2004 International Conference on Image Processing, 2004. ICIP '04. • 2004
View 8 Excerpts
Highly Influenced

A hybrid approach for human skin detection

2017 7th International Conference on Communication Systems and Network Technologies (CSNT) • 2017

Always-on low-power optical system for skin-based touchless machine control.

Journal of the Optical Society of America. A, Optics, image science, and vision • 2016

181 Citations

01020'03'06'10'14'18
Citations per Year
Semantic Scholar estimates that this publication has 181 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 21 references

A Flexible Image Database System for Content-Based Retrieval

Computer Vision and Image Understanding • 1999
View 2 Excerpts

Similar Papers

Loading similar papers…