A Method of Face Detection Based On Improved YCBCR Skin Color Model
Jihui Fan, Hongxing Wang
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.376How to use a DOI?
- Face detection Skin color Clustering feature Color space Mark image
- Face detection is a key technology in the information processing field of face recognition. The paper proposes a new face detection method to detect the human face. According to the clustering characteristics of Cb and Cr to detect the skin-color, then the image is labeled. The paper summarizes and presents a localization ears algorithm of human face. It also presents a method to locate the human chin based on the center line of pixel gray [CLPG]. The two methods can remove the interference of the ear and neck region. Experimental results show that the method can detect face quickly and accurately in an image and provide a certain value for the study of face recognition.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jihui Fan AU - Hongxing Wang PY - 2016/03 DA - 2016/03 TI - A Method of Face Detection Based On Improved YCBCR Skin Color Model BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 1888 EP - 1892 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.376 DO - https://doi.org/10.2991/icmmct-16.2016.376 ID - Fan2016/03 ER -