{"title":"Dynamic detection of hidden-surfaces using a MIMD multiprocessor","authors":"O. Frieder, M. Stytz","doi":"10.1109/CBMSYS.1990.109377","DOIUrl":null,"url":null,"abstract":"A technique for accelerating the hidden surface removal operation within a MIMD parallel-processing machine is presented. This technique is based on back-to-front and front-to-back hidden surface removal algorithms which reduce image rendering time by adaptive rendering termination. These algorithms terminate volume rendering operations as soon as the image at a processor is informationally complete. Using these two algorithms, a technique for allowing each processor to dynamically and independently select the fastest volume rendering algorithm based on its local processing circumstances is described.<<ETX>>","PeriodicalId":365366,"journal":{"name":"[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMSYS.1990.109377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
A technique for accelerating the hidden surface removal operation within a MIMD parallel-processing machine is presented. This technique is based on back-to-front and front-to-back hidden surface removal algorithms which reduce image rendering time by adaptive rendering termination. These algorithms terminate volume rendering operations as soon as the image at a processor is informationally complete. Using these two algorithms, a technique for allowing each processor to dynamically and independently select the fastest volume rendering algorithm based on its local processing circumstances is described.<>