Study on the estimation of the volume of food in diet health cloud computing technology

Study on the estimation of the volume of food in diet health cloud computing technology

Ocean Yang Yongquan

This paper mainly uses the cloud to add the end of the structure, the cloud collaborative approach to the system implementation. The function of the end is mainly in the Intelligent Mobile Terminal, its main function is to use three-dimensional modeling technology to simulate the volume of food in the picture, the use of multi-touch technology to achieve food objects, so as to accurately obtain the intake of food volume. The main function of the cloud is to use the distributed architecture to store the user's photographs of the diet and processing the massive photos, calculating the three-dimensional scene camera parameters of the diet scene in the specific photos, returning the parameters to the end, allowing the terminal to establish three-dimensional model on the basis, using three-dimensional virtual reality technology to simulate the food in the picture and then estimate the food volume. The main innovation points of this paper are as follows: 1) creatively applying three-dimensional virtual reality technology to food volume estimation, this paper proposes a virtual reality estimation method based on cloud synergy, and designs an autonomous intelligent three-dimensional multi-touch human-computer interaction technology, which realizes the high correspondence between virtual reality model and actual food. The problem of food volume estimation is solved effectively. 2 for HDFs file system to store small files affect the efficiency problem, proposed a new file system level two indexing mechanism. By adopting the method of virtual large file, the management problem of mass food small file picture is solved better. 3 According to the problem of HDFs copy placement, this paper puts forward a copy placement strategy method based on storage node performance, based on the performance index of the storage node, and improves the copy placement strategy, and verifies the rationality of the placement strategy by experiment. 4 proposes a new scheduling algorithm for cloud computing platform, on the basis of making full use of compute resource and task parameter index of compute node, this algorithm adds the feedback information of task execution in the scheduling process, obtains reasonable dispatch result, optimizes the resource disposition of the cloud service platform of food volume and energy calculation.

Study on the estimation of the volume of food in diet health cloud computing technology