An interactive image segmentation method in hand gesture recognition

In order to improve the recognition rate of hand gestures a new interactive image segmentation method for hand gesture recognition is presented, and popular methods, e.g., Graph cut, Random walker, Interactive image segmentation using geodesic star convexity, are studied in this article. The Gaussian Mixture Model was employed for image modelling and the iteration of Expectation Maximum algorithm learns the parameters of Gaussian Mixture Model. We apply a Gibbs random field to the image segmentation and minimize the Gibbs Energy using Min-cut theorem to find the optimal segmentation. The segmentation result of our method is tested on an image dataset and compared with other methods by estimating the region accuracy and boundary accuracy. Finally five kinds of hand gestures in different backgrounds are tested on our experimental platform, and the sparse representation algorithm is used, proving that the segmentation of hand gesture images helps to improve the recognition accuracy

Simultaneous calibration: a joint optimization approach for multiple Kinect and external cameras

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Research on Temperature Field and Stress Field of Prefabricate Block Electric Furnace Roof

This paper establishes the CAD/CAE model of high aluminum brick furnace cover and a precast furnace cover (casting three block, eight block, twelve block) based on a 30t electric furnace roof real model of a steel factory and simulates the temperature and stress field of the firebrick roof and prefabricate block roof with ANSYS. The calculation results have indicated that the contact stress between furnace cover and precast block will affect the performance of the furnace cover and the furnace cover which is assembled by three pieces of casting precast block obtains lower stress levels has a longer service life, providing a quantitative reference for selection of casting scheme