J. Balcerek, Mateusz Luczak, P. Pawlowski, A. Dabrowski
{"title":"使用立体视觉和二维算法自动识别图像细节","authors":"J. Balcerek, Mateusz Luczak, P. Pawlowski, A. Dabrowski","doi":"10.23919/SPA.2018.8563419","DOIUrl":null,"url":null,"abstract":"This paper presents a utilization of the stereovision in the automotive applications and video monitoring. Two video channels of stereovision system offer a new quality of recognition of image details. Even with popular object recognition algorithms the stereovision significantly improves the analysis plausibility. Preliminary experiments with the specially prepared 3D video test database show improvement of the recognition effectiveness by 10-30% in comparison to the single video channel.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automatic recognition of image details using stereovision and 2D algorithms\",\"authors\":\"J. Balcerek, Mateusz Luczak, P. Pawlowski, A. Dabrowski\",\"doi\":\"10.23919/SPA.2018.8563419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a utilization of the stereovision in the automotive applications and video monitoring. Two video channels of stereovision system offer a new quality of recognition of image details. Even with popular object recognition algorithms the stereovision significantly improves the analysis plausibility. Preliminary experiments with the specially prepared 3D video test database show improvement of the recognition effectiveness by 10-30% in comparison to the single video channel.\",\"PeriodicalId\":265587,\"journal\":{\"name\":\"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/SPA.2018.8563419\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SPA.2018.8563419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic recognition of image details using stereovision and 2D algorithms
This paper presents a utilization of the stereovision in the automotive applications and video monitoring. Two video channels of stereovision system offer a new quality of recognition of image details. Even with popular object recognition algorithms the stereovision significantly improves the analysis plausibility. Preliminary experiments with the specially prepared 3D video test database show improvement of the recognition effectiveness by 10-30% in comparison to the single video channel.
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