Quantitative Model of Online Course Teaching Evaluation Mode based on Multi-view Image Reconstruction Algorithm

Abstract

Object recognition and instance segmentation on multi-view image sequences. Due to the low resolution and high noise of multi-view course image sequences obtained by ordinary image acquisition equipment, the extraction and registration accuracy of image feature points will be reduced. A reasonable model of teaching evaluation can be established through the analytic hierarchy process AHP. Teachers’ self-evaluation and experts’ determination of the weights of evaluation indicators are developed using ASP.NET. In the background, it mainly realizes the management function of the administrator to the evaluation data, which is developed with VB.NET. The background database of the system is implemented using SQL