基于多视图图像重建算法的在线课程教学评价模式定量模型

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI:10.1109/ICOSEC54921.2022.9951923

Qian Wu

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引用次数: 0

摘要

多视图图像序列的目标识别与实例分割。由于普通图像采集设备获取的多视点过程图像序列分辨率低、噪声大，会降低图像特征点的提取和配准精度。通过层次分析法，可以建立合理的教学评价模型。利用ASP.NET开发了教师自我评价和专家评价指标权重的确定。后台主要实现管理员对考评数据的管理功能，采用VB.NET进行开发。系统后台数据库采用SQL实现

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

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

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2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)

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