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Recognizing human emotions from facial expressions is highly dependent on the quality of the referred facial expression features. Conventional methods often suffer from high computation time and serious influence of environment variations. In this paper, a triangular facial feature extraction method based on a Modified Active Shape Model (MASM) is proposed. This method features considering the interactions...
The practical methodologies of stable pattern classification using artificial intelligence as advisory tools are researched here according to studies in the flowering plant genera Lithops N. E. Br. (Aizoaceae). In this paper, the use of a neural network model with the adaptive resonance theory is a practical generation of groups as a classifier for botanical taxa. In order to provide comparisons for...
Statistical model based facial expression synthesis methods are robust and easier to be used in real environment. But facial expressions of human are very various. How to represent and synthesize expressions which is not included in training set is an unresolved problem in statistical model based researches. In this paper, we propose a two step method. At first, we propose a statistical appearance...
In this paper, we propose a real-time forest fire detection algorithm using artificial neural networks based on dynamic characteristics of fire regions segmented from video images. Fire region is obtained from image with the help of threshold values in HSV color space. Area, roundness and contour are computed for fire regions from each 5 continuous frames. The average and mean square deviation of...
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