{"title":"基于加速鲁棒特征的鲸鱼优化算法提高目标搜索速度","authors":"Jui-Chuan Cheng, Meng-Tang Guo","doi":"10.1109/ISPACS51563.2021.9650998","DOIUrl":null,"url":null,"abstract":"Speed-Up Robust Feature (SURF) is one of the methods for extracting image features and matching. This paper proposes the object search method based on the whale optimization algorithm that inherits the previous global best value (IGP-WOA), which has the advantages of fast convergence and multiple search methods. In addition, we use integral images to find the fitness value (IGP-WOA-CII) in the target function calculation, thereby reducing the time spent on SURF extraction and matching.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Whale Optimization Algorithm Based on Speed-Up Robust Feature to Improve the Speed of Object Searching\",\"authors\":\"Jui-Chuan Cheng, Meng-Tang Guo\",\"doi\":\"10.1109/ISPACS51563.2021.9650998\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Speed-Up Robust Feature (SURF) is one of the methods for extracting image features and matching. This paper proposes the object search method based on the whale optimization algorithm that inherits the previous global best value (IGP-WOA), which has the advantages of fast convergence and multiple search methods. In addition, we use integral images to find the fitness value (IGP-WOA-CII) in the target function calculation, thereby reducing the time spent on SURF extraction and matching.\",\"PeriodicalId\":359822,\"journal\":{\"name\":\"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS51563.2021.9650998\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS51563.2021.9650998","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Whale Optimization Algorithm Based on Speed-Up Robust Feature to Improve the Speed of Object Searching
Speed-Up Robust Feature (SURF) is one of the methods for extracting image features and matching. This paper proposes the object search method based on the whale optimization algorithm that inherits the previous global best value (IGP-WOA), which has the advantages of fast convergence and multiple search methods. In addition, we use integral images to find the fitness value (IGP-WOA-CII) in the target function calculation, thereby reducing the time spent on SURF extraction and matching.