计算机视觉+人体姿态识别+双目视觉详解.docVIP

Computer vision application 院 （系） 电子与信息工程学院 专 业 集成电路工程 学 生 吕广兴 14S158054 Computer vision application The directory Report: Computer vision application 2 1.The object of the project 2 2.The method and the principle applied to the project 2 2.1 Platform 2 2.2 The principle of transform the RGB image to the gray image 2 2.3 The principle of image enhancement 2 2.4 The principle of thresholding 3 2.5 The principle of classifier 3 3.The content and the result of the project 4 3.1 The main steps in the project 4 3.2 About human body posture recognition 4 About three kinds of methods are most common: 4 3.3.Stereo vision 11 4.Reference 17 Report: Computer vision application 1.The object of the project The object of the project is Gesture recognition and location in the interior of people. 2.The method and the principle applied to the project 2.1 Platform The platform is based on Visual Studio 2012 and OpenCV 2.4.10. 2.2 The principle of transform the RGB image to the gray image There are three major methods to transform the RGB image to the gray image. The first one is called the maximum value that is set the value of R, G, and B to the maximum of these three. Gray=R=G=B=max(R, G, B) The second one is called mean value which is set the value of R, G, and B to the mean value of these three. Gray=R=G=B=(R+G+B)/3 The third one is called weighted average that is giving different weights to the R, G and B according to the importance or other indicators, and then adding the three parts together. In fact, human’s eye is very high sensitive to green, then red, last blue. Gray=0.30R+0.59G+0.11B 2.3 The principle of image enhancement Image enhancement is the process of making images more useful. There are two broad categories of image enhancement techniques. The first one is spatial domain technique, and it is a direct manipulation of image pixels that includes point processing and neighborhood operations. The second one is frequency domain technique