| Summary: | 碩士 === 國立中央大學 === 電機工程研究所 === 94 === The goal of this paper is to develop a head-pose recognition system to control the computer cursor and a hexapod robot. The techniques of image processing and Fisher linear discriminant analysis are used to recognize the pose of head, such as front, up, down, left and right. When the pose of head is recognized, this result is applied to control the cursor or the hexapod robot. This system can help some disabled people who are impaired in hands or feet to operate the computer and to communicate with the external world. This technique would improve the quality of their life.
In this paper, the YCbCr color system is adopted to detect the color of skin, because YCbCr is not sensitive to the variation of light source. When using computer, most of users are close to the camera which is equipped in front of the computer. Thus, the face region would occupy the most area in the captured image. We use the method of the connect component labeling, which can detect the largest region of skin in the captured image and locate the region of human face. Then, the linear discriminant algorithm is applied to extract the feature parameter from the training images and the test image. Finally, by comparing the feature extracted from the captured image to the parameter extracted from the training image, we can estimate the direction of head and control the cursor or a hexapod robot.
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