{"title":"Research of Artificial Intelligence Computer Vision Application","authors":"G. Xu","doi":"10.1145/3501409.3501700","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3501409.3501700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.