Application of Weighted Least Squares Algorithm in Machine Vision System

The relationship between camera position and reconstruction accuracy is analyzed, and the weight value is estimated on this basis. The application of weighted least squares algorithm in machine vision system is a method for estimating unknown model parameters. The weight is calculated by using some known data, and then applied to unknown data for estimation. This method is also called supervised learning or regression based on training set. Here, we use all the features in the image and train them with available data sets containing preprocessed and normalized training sets so that they can be easily compared with other images in the same category.