{"title":"遗传算法在数字化物体三维重建中的应用","authors":"D. Torres, F. Cuevas","doi":"10.1117/12.913013","DOIUrl":null,"url":null,"abstract":"We present a method to fully reconstruct real objects acquired by any means of digitalization and where many scans from different views of point have been made. The current problem is modeled as an optimization problem and solved with a Genetic Algorithm (GA) using a custom fitness function based in regular squared distance minimization (SDM). We present examples to show the applicability of our method to reconstruct full objects as well as a possible application in reverse engineering.","PeriodicalId":359625,"journal":{"name":"Symposium on Optics in Industry","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A genetic algorithm applied in the three-dimensional reconstruction of digitalized objects\",\"authors\":\"D. Torres, F. Cuevas\",\"doi\":\"10.1117/12.913013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a method to fully reconstruct real objects acquired by any means of digitalization and where many scans from different views of point have been made. The current problem is modeled as an optimization problem and solved with a Genetic Algorithm (GA) using a custom fitness function based in regular squared distance minimization (SDM). We present examples to show the applicability of our method to reconstruct full objects as well as a possible application in reverse engineering.\",\"PeriodicalId\":359625,\"journal\":{\"name\":\"Symposium on Optics in Industry\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Symposium on Optics in Industry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.913013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Optics in Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.913013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A genetic algorithm applied in the three-dimensional reconstruction of digitalized objects
We present a method to fully reconstruct real objects acquired by any means of digitalization and where many scans from different views of point have been made. The current problem is modeled as an optimization problem and solved with a Genetic Algorithm (GA) using a custom fitness function based in regular squared distance minimization (SDM). We present examples to show the applicability of our method to reconstruct full objects as well as a possible application in reverse engineering.