{"title":"Finding a set of optimal viewing for 3D surface reconstruction from 2D X-ray images using genetic algorithm","authors":"S. Prakoonwit","doi":"10.1109/UKRICIS.2010.5898143","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898143","url":null,"abstract":"In 3D reconstruction, the efficiency and the accuracy of the reconstruction depend on the distribution of the reconstructed surface points or landmark points. This paper presents a new method, using multi-cellular genetic algorithm, to determine a set of any chosen number of projection angles that approximately provides the optimal distribution of the reconstructed surface points. This is to maximize the use of a small number of 2D X-ray to reconstruct surfaces and allow all important features to be reconstructed by using a minimum number of views. Some proof of concept computational experiments have been conducted to demonstrate the capability of the proposed method.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123516409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}