The Applications of Web Camera on Head Turning Recognition
碩士 === 南台科技大學 === 機械工程系 === 97 === In this paper, a webcam is used to capture images, and combining image processing and neural network technology to develop a head rotation recognition system. First, to identify the face region, then to find out the locations of eyes and lips, and after that accord...
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ndltd-TW-097STUT04890052016-11-22T04:13:16Z http://ndltd.ncl.edu.tw/handle/47177539701971589181 The Applications of Web Camera on Head Turning Recognition 應用網路攝影機來辨識頭部轉向動作 Li-Wei Lin 林立偉 碩士 南台科技大學 機械工程系 97 In this paper, a webcam is used to capture images, and combining image processing and neural network technology to develop a head rotation recognition system. First, to identify the face region, then to find out the locations of eyes and lips, and after that according to the head rotating angle, to identify the centers of gravity of the eyes and lips. Furthermore, three sides of the triangle based on the three centers of gravity are obtained, after appropriate calculations to obtain five characteristics. After normalizing these characteristics and the corresponding rotating angles of head, the database is obtained and is used as the training data of the neural network. The experimental results indicate that, in the same light source, the rotating angle of head from -40 degrees to 40 degrees, the proposed head rotation recognition system can identify the head rotation degree direction. Pei-Chung Chen 陳沛仲 2009 學位論文 ; thesis 70 zh-TW |
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碩士 === 南台科技大學 === 機械工程系 === 97 === In this paper, a webcam is used to capture images, and combining image processing and neural network technology to develop a head rotation recognition system. First, to identify the face region, then to find out the locations of eyes and lips, and after that according to the head rotating angle, to identify the centers of gravity of the eyes and lips. Furthermore, three sides of the triangle based on the three centers of gravity are obtained, after appropriate calculations to obtain five characteristics. After normalizing these characteristics and the corresponding rotating angles of head, the database is obtained and is used as the training data of the neural network. The experimental results indicate that, in the same light source, the rotating angle of head from -40 degrees to 40 degrees, the proposed head rotation recognition system can identify the head rotation degree direction.
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author2 |
Pei-Chung Chen |
author_facet |
Pei-Chung Chen Li-Wei Lin 林立偉 |
author |
Li-Wei Lin 林立偉 |
spellingShingle |
Li-Wei Lin 林立偉 The Applications of Web Camera on Head Turning Recognition |
author_sort |
Li-Wei Lin |
title |
The Applications of Web Camera on Head Turning Recognition |
title_short |
The Applications of Web Camera on Head Turning Recognition |
title_full |
The Applications of Web Camera on Head Turning Recognition |
title_fullStr |
The Applications of Web Camera on Head Turning Recognition |
title_full_unstemmed |
The Applications of Web Camera on Head Turning Recognition |
title_sort |
applications of web camera on head turning recognition |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/47177539701971589181 |
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