{"title":"基于空间几何约束辅助相位结构光结合相机参数的三维重建算法","authors":"Ruhui Guo, Liangwei Cai, Yuan Xu","doi":"10.1109/ICCECE58074.2023.10135283","DOIUrl":null,"url":null,"abstract":"Multi-frequency temporal phase unwrapping methods can unwrap phase wrapping well, but need to capture more additional images. Therefore, the measurement speed of this method is relatively slow, and it is not suitable for scenarios with high speed requirements. This paper proposes a 3D reconstruction algorithm based on spatial geometric constraints assisted phase-based structured light combined with camera parameters. This method uses the spatial geometric constraints of the camera and projector to construct a reference absolute phase to expand the phase wrapping. The method has the advantages of simple hardware, good robustness, short measurement time and high precision. Experiments show that under the same conditions, the method proposed in this paper is similar to the multi-frequency time-phase expansion method in the measurement accuracy of two standard spheres with different diameters, but the measurement time of the method in this paper has decreased. The average measurement time of 6.0085mm and 6.0077mm standard balls decreased by 32.64% and 33.16%, respectively. Therefore, the method proposed in this paper can promote the development of structured light in terms of speed and low cost.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A 3D reconstruction algorithm based on spatial geometry constraint assisted phase structured light combined with camera parameters\",\"authors\":\"Ruhui Guo, Liangwei Cai, Yuan Xu\",\"doi\":\"10.1109/ICCECE58074.2023.10135283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multi-frequency temporal phase unwrapping methods can unwrap phase wrapping well, but need to capture more additional images. Therefore, the measurement speed of this method is relatively slow, and it is not suitable for scenarios with high speed requirements. This paper proposes a 3D reconstruction algorithm based on spatial geometric constraints assisted phase-based structured light combined with camera parameters. This method uses the spatial geometric constraints of the camera and projector to construct a reference absolute phase to expand the phase wrapping. The method has the advantages of simple hardware, good robustness, short measurement time and high precision. Experiments show that under the same conditions, the method proposed in this paper is similar to the multi-frequency time-phase expansion method in the measurement accuracy of two standard spheres with different diameters, but the measurement time of the method in this paper has decreased. The average measurement time of 6.0085mm and 6.0077mm standard balls decreased by 32.64% and 33.16%, respectively. Therefore, the method proposed in this paper can promote the development of structured light in terms of speed and low cost.\",\"PeriodicalId\":120030,\"journal\":{\"name\":\"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCECE58074.2023.10135283\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCECE58074.2023.10135283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A 3D reconstruction algorithm based on spatial geometry constraint assisted phase structured light combined with camera parameters
Multi-frequency temporal phase unwrapping methods can unwrap phase wrapping well, but need to capture more additional images. Therefore, the measurement speed of this method is relatively slow, and it is not suitable for scenarios with high speed requirements. This paper proposes a 3D reconstruction algorithm based on spatial geometric constraints assisted phase-based structured light combined with camera parameters. This method uses the spatial geometric constraints of the camera and projector to construct a reference absolute phase to expand the phase wrapping. The method has the advantages of simple hardware, good robustness, short measurement time and high precision. Experiments show that under the same conditions, the method proposed in this paper is similar to the multi-frequency time-phase expansion method in the measurement accuracy of two standard spheres with different diameters, but the measurement time of the method in this paper has decreased. The average measurement time of 6.0085mm and 6.0077mm standard balls decreased by 32.64% and 33.16%, respectively. Therefore, the method proposed in this paper can promote the development of structured light in terms of speed and low cost.