| 英文摘要 | With the development of computer sciences, the traditional Human Machine Interface (HMI) becomes limited for the more and more complicated equirements. The natural and intelligent interactive methods are reported on the literature, such as voice, vision and advanced sensor based methods. The computer vision based method is getting more and more attention for its nature and convenience. And the gesture is one of the most interactive means that has been applied in many computer games recently. To meet the requirements of real-time game control, a local statistic based method is adopted to detect features, in stead of the model based methods or global analysis methods. By this means the computation of the feature is sim plified and thus the high effciency is obtained. On the other hand, based on the basic local features, the structural character of feature group is analyzed to get more meanings from the complicated gestures for more complicated games. From the simple contour to the image, and from the feature to the group, we tried many methods for analyze and comparison. Focusing on this topic, this dissertation mainly includes the following research issues: Firstly, basing on the idea that the curve can be totally expressed by the distribution of its curvature, we proposed a novel differential contour based method to analyze the distribution of the curvature. Combined with some of the two dimensional information, the local curve curvature model are founded and related detection method is carried out. The experiment shows the curvature based method is effcient for the real time requirement. Secondly, based on the fact that the structure of the global model can be described effciently by the local feature groups, a curvature entropy based structure analysis method is introduced to get the structural model of certain shape. Then by a voting scheme, the shape is effciently matched with the models. The experiment shows it suitable for shape comparison. Then based on the notion that moment is the complete and effcient statistic of the image, the novel geometry, lighting and contract invariant moment is proposed as well as its fast algorithm. Experiment shows the detection results of the method are differentiable and satisfiable. At last, to fully implement the idea that the system can be promoted by the multiple cues, we tried many methods include structure information, skin, motion, and frequency information. The more degrees of freedom are obtained from the stereo vision cue, and the global shapes are compared with the structure cue. With all the cues confused together some vision based games are successfully developed. |
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