Design And Implementation Of Computer Visual Application Experience Platform Based On Sparse Model

With the continuous progress of computer technology and the requirements of intelligent development in various industries,computer vision has become one of the important research topics in the field of artificial intelligence in recent years.Computer vision has a wide range of practical applications and plays an indispensable role in industrial,agricultural,medical,military and other fields.This paper focuses on the application of sparse model in computer vision,and builds a computer vision application experience platform based on the sparse model.In the design and implementation of the system,the main work completed in this paper includes:First,this paper introduces the development and current situation of computer vision,and describes the practical significance of sparse model in computer vision.This paper studies two classical methods of sparse model solution:matching pursuit(MP)algorithm and orthogonal matching pursuit(OMP)algorithm.The OMP algorithm is determined as the solution method of sparse model in this paper by comparing and analyzing the time,reconstruction error and reconstruction quality respectively.Secondly,the system is divided into five modules:robust face recognition,image denoising,image segmentation,image super-resolution reconstruction and target tracking.In this paper,the algorithm principle of sparse model in each module is studied,and the vision algorithm used in related applications is designed in detail.Thirdly,this paper uses HTML,CSS and javascript technology to complete the design of the system interface,uses the web framework based on Django to build the system development environment,and completes the algorithm development through python programming language.Finally,a test scheme is designed for the computer visual application experience platform based on the sparse model,and the functional integrity and algorithm accuracy in each application scenario are tested.It is verified that the computer vision application experience platform in this paper has fast algorithm response speed,and can show high robustness and accuracy in complex scenarios.The results can be used in computer vision cloud services to provide users with free visual AI algorithm interfaces.