人工智能计算机视觉应用研究

G. Xu
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引用次数: 0

摘要

随着互联网技术的不断发展,互联网用户已经不再满足于仅仅通过文本获取信息。越来越多的用户喜欢通过智能手机拍照或截图来保存和分享他们的生活信息。因此,利用计算机对图像信息进行识别和处理变得越来越重要。图像识别技术是人工智能的一个重要研究领域。这项技术可以使计算机代替人类处理大量的信息,从而使人类从繁琐的工作量中解脱出来。图像识别技术[3-5]通过相关信息获取、预处理、模型训练等步骤,满足实际用户的相关需求。图像识别技术首先定义相关对象的特征,然后进行记忆图像匹配,最后进行图像识别。对于相关对象的特征定义,我们不仅可以使用预定义的特征,还可以通过卷积神经网络训练相关特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of Artificial Intelligence Computer Vision Application
With the continuous development of Internet technology, Internet users are no longer satisfied with obtaining information only through text. More and more users like to take photos or screenshots through smart phones to save and share their life information. Subsequently, using computer to recognize and process image information becomes more and more important. Image recognition technology is an important research field of artificial intelligence. This technology can enable computers to process a large amount of information instead of human beings, so as to free human beings from cumbersome workload. Image recognition technology [3-5] meets the relevant needs of actual users through the steps of relevant information acquisition, preprocessing and model training. Image recognition technology first defines the characteristics of related objects, then memory image matching, and finally image recognition. For the definition of the features of related objects, we can not only use the predefined features, but also train the related features through convolutional neural network.
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