M. Ziegler, Ron op het Veld, J. Keinert, Frederik Zilly
{"title":"大场景密集光场采集系统","authors":"M. Ziegler, Ron op het Veld, J. Keinert, Frederik Zilly","doi":"10.1109/3DTV.2017.8280412","DOIUrl":null,"url":null,"abstract":"Capturing high resolution and high density lightfield is classically done using precise gantry systems and a DSLR camera. The overall baseline of available systems is small: Scene realism and change in perspective is consequentially limited. This work presents a system for acquisition of dense lightfield of large scenes using precise linear axes and a high quality camera. In contrast to former systems, our presented system can capture lightfield from natural scenes with dense sampling and significant change in perspective. Width and height of the scene can be several meters. Furthermore, for calibration of captured images, we propose a novel self-calibration method. The obtained data may serve as ground-truth reference images for evaluation of light-field reconstruction methods, novel view synthesis algorithms and many more.","PeriodicalId":279013,"journal":{"name":"2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Acquisition system for dense lightfield of large scenes\",\"authors\":\"M. Ziegler, Ron op het Veld, J. Keinert, Frederik Zilly\",\"doi\":\"10.1109/3DTV.2017.8280412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Capturing high resolution and high density lightfield is classically done using precise gantry systems and a DSLR camera. The overall baseline of available systems is small: Scene realism and change in perspective is consequentially limited. This work presents a system for acquisition of dense lightfield of large scenes using precise linear axes and a high quality camera. In contrast to former systems, our presented system can capture lightfield from natural scenes with dense sampling and significant change in perspective. Width and height of the scene can be several meters. Furthermore, for calibration of captured images, we propose a novel self-calibration method. The obtained data may serve as ground-truth reference images for evaluation of light-field reconstruction methods, novel view synthesis algorithms and many more.\",\"PeriodicalId\":279013,\"journal\":{\"name\":\"2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/3DTV.2017.8280412\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DTV.2017.8280412","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Acquisition system for dense lightfield of large scenes
Capturing high resolution and high density lightfield is classically done using precise gantry systems and a DSLR camera. The overall baseline of available systems is small: Scene realism and change in perspective is consequentially limited. This work presents a system for acquisition of dense lightfield of large scenes using precise linear axes and a high quality camera. In contrast to former systems, our presented system can capture lightfield from natural scenes with dense sampling and significant change in perspective. Width and height of the scene can be several meters. Furthermore, for calibration of captured images, we propose a novel self-calibration method. The obtained data may serve as ground-truth reference images for evaluation of light-field reconstruction methods, novel view synthesis algorithms and many more.