Jun Chen, Yongjiu Liu, Qingyi Gu, T. Aoyama, T. Takaki, I. Ishii
{"title":"采用运动补偿编码结构光方法的机器人安装500 fps三维形状测量","authors":"Jun Chen, Yongjiu Liu, Qingyi Gu, T. Aoyama, T. Takaki, I. Ishii","doi":"10.1109/ROBIO.2014.7090628","DOIUrl":null,"url":null,"abstract":"A high-frame-rate (HFR) structured light vision is developed for observing moving three-dimensional (3-D) scenes; it is mountable on the end of a robot manipulator for 3-D shape inspection. Our system can simultaneously obtain depth images of 512×512 pixels at 500 fps by implementing a motion-compensated coded structured light method on an HFR camera-projector platform; the 3-D computation is accelerated using the parallel processing on a GPU board. This method can remarkably reduce the synchronization errors in the structured-light-based measurement, which are encountered in the projection of multiple light patterns with different timings; such synchronization errors become larger as the ego-motion of a manipulator becomes larger. We demonstrate the performance of our system by showing several 3-D shape measurement results when the 3-D module is mounted on a fast-moving 6-DOF manipulator as a sensing head.","PeriodicalId":289829,"journal":{"name":"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Robot-mounted 500-fps 3-D shape measurement using motion-compensated coded structured light method\",\"authors\":\"Jun Chen, Yongjiu Liu, Qingyi Gu, T. Aoyama, T. Takaki, I. Ishii\",\"doi\":\"10.1109/ROBIO.2014.7090628\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A high-frame-rate (HFR) structured light vision is developed for observing moving three-dimensional (3-D) scenes; it is mountable on the end of a robot manipulator for 3-D shape inspection. Our system can simultaneously obtain depth images of 512×512 pixels at 500 fps by implementing a motion-compensated coded structured light method on an HFR camera-projector platform; the 3-D computation is accelerated using the parallel processing on a GPU board. This method can remarkably reduce the synchronization errors in the structured-light-based measurement, which are encountered in the projection of multiple light patterns with different timings; such synchronization errors become larger as the ego-motion of a manipulator becomes larger. We demonstrate the performance of our system by showing several 3-D shape measurement results when the 3-D module is mounted on a fast-moving 6-DOF manipulator as a sensing head.\",\"PeriodicalId\":289829,\"journal\":{\"name\":\"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO.2014.7090628\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2014.7090628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A high-frame-rate (HFR) structured light vision is developed for observing moving three-dimensional (3-D) scenes; it is mountable on the end of a robot manipulator for 3-D shape inspection. Our system can simultaneously obtain depth images of 512×512 pixels at 500 fps by implementing a motion-compensated coded structured light method on an HFR camera-projector platform; the 3-D computation is accelerated using the parallel processing on a GPU board. This method can remarkably reduce the synchronization errors in the structured-light-based measurement, which are encountered in the projection of multiple light patterns with different timings; such synchronization errors become larger as the ego-motion of a manipulator becomes larger. We demonstrate the performance of our system by showing several 3-D shape measurement results when the 3-D module is mounted on a fast-moving 6-DOF manipulator as a sensing head.