Face detection is considered as a challenging problem in the field of image analysis and computer vision. There are many researches in this area, but because of its importance, it needs to be further developed. Successive Mean Quantization Transform (SMQT) for illumination and sensor insensitive operation and Sparse Network of Winnow (SNoW) to speed up the original classifier based face detection technique presented such a good result. In this paper we use the Mean of Medians of CbCr (MMCbCr) color correction approach to enhance the combined SMQT features and SNoW classifier face detection technique. The proposed technique is applied on color images gathered from various sources such as Internet, and Georgia Database. Experimental results show that the face detection performance of the proposed method is more effective and accurate compared to SFSC method.
展开▼
机译:应用项目反应理论对友谊质量量表修定—以结构方程模型、层面理论多种技术支持修定量表的质量 Modifying Friendship Quality Questionnaire with Item Response Theory Approach——Validating with Facet Theory and Structure Equation Techniques
机译:Correction to: Cui Lai, Lei Qin, Liang Chen, Guang-Ming Zeng, Dan-Lian Huang, Chen Zhang, Piao Xu and Min Cheng, Sensitive and selective detection of glutathione based on anti-catalytical growth of gold nanoparticles colorimetric sensor