Research of Lip Contour Extraction in Face Recognition

A New Semi-supervised Method for Lip Contour Detection

“…It can optimize the gradient information and enhance the accuracy of the lip contour detection by combining YCbCr color space and Fisher transformation [30]. In literature [31], we improved the Fisher transformation with semi-supervised learning, and combed level set theory with the improved the Fisher transformation.…”

“…As is well known, Fisher transformation requires large number of artificial tag data. Therefore, we propose a hybrid approach combing the improved level set method and semi-supervised Fisher transformation method for lip contour detection in this paper [30,31]. It comprehensive utilizes the marked and unmarked image pixel information, and obtains good contour extraction results in the cases with fewer tag information.…”

EBD Control Research on Nonuniformity Roads for Electric Vehicles on Energy Regenerative and Feedback Friction Integrated Braking

“…The continuous developments of vehicle make it the main area of the world's energy consumption, the development of vehicle energy-saving technology become more and more important and urgent. Among a variety of vehicle energy-saving technologies, regenerative braking technology is highly concerned, it has broad application prospects, abundant achievements and applications [1][2][3][4][5], and will become an important way of vehicle energy-saving. However, in the prevailing vehicle regenerative braking technology, there are still some problems, such as low braking energy recovery and difficult-guaranteed braking performance [6], the ABS, EBD control technology based on the regenerative braking system is not yet mature [6][7][8].…”