Research On Measurement Technique Of Skin Surface Based On Stereo Vision

Estimation of skin smoothness is of ever-increasing interest especially in the field of cosmetic research nowadays. There are some established methods for assessing skin surface. The paper interprets some measurement methods of skin surface and analyses them in detail. Furthermore, a measurement method of skin surface structure based on the image stereo is introduced. In the following part, the main items of binocular stereo vision are presented systematically. At first, the development of binocular stereo vision and some viewpoints about computer vision are discussed. Then we discuss the techniques of the camera calibration and stereo matching respectively.In the camera calibration part, the basic principles and specific steps of camera calibration are presented. The effect of the density and distribution of the known calibrating points on the precise of the camera calibration is studied by experiments. By analyzing the results of the experiments, we propose a method of using a plane to calibrate a camera. It makes the distribution of the calibrating points more even in the space and the result of the camera calibration more accurate. In order to find the location of the cross points in the image, we first obtain the equations of the lines in the image plane by using Hough transform and then get the cross points of the lines. The result of the camera calibration using this method is more accurate.In the stereo matching part, the area-based stereo match and the control strategy based on epipolar line are discussed in detail. On the basis of experiment, we propose a new solution to stereo matching by using the control strategy of the standard points. In contrast to the control strategy based on epipolar line, it is free from the effect ofthe camera calibration.Finally, we review the whole work, process the images, analyze the results and suggest the direction for the future research in this field.