{"title":"人体图像法医鉴定的3D成像技术","authors":"Jinhua Zeng, Xiulian Qiu, Shaopei Shi, Xinwei Bian, Huaping Zhu","doi":"10.1145/3424978.3425104","DOIUrl":null,"url":null,"abstract":"Traditional techniques on forensic identification of human images are more focused on the inspection and analysis of two-dimensional images, while 3D imaging has been around in some form for decades. In this paper, we use the 3D imaging techniques as a new solution for forensic human image identification. The 3D imaging will provide one more dimension information for forensic examination of human images. Firstly, we introduce a dimension classification theory to forensic identification of human images for the first time, namely, the two-dimension, quasi-3D, and three dimension based forensic human image identification techniques. We describe 3D imaging techniques for human being and the new 3D imaging based forensic human identification techniques are discussed, which will provide more intuitive human identity information perception experience in the visual examination for experts, and offer more dimensional individual information and visual angles for feature comparison. Moreover, the more detailed and precise visual features will be available for forensic identification of human images. With the increasingly maturity of the 3D imaging techniques, the dimensional innovation of techniques in the field of forensic identification of human images will be increasingly improved, and the accuracy of forensic identification of human images will be more comprehensively guaranteed.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"3D Imaging Techniques for Forensic Identification of Human Images\",\"authors\":\"Jinhua Zeng, Xiulian Qiu, Shaopei Shi, Xinwei Bian, Huaping Zhu\",\"doi\":\"10.1145/3424978.3425104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional techniques on forensic identification of human images are more focused on the inspection and analysis of two-dimensional images, while 3D imaging has been around in some form for decades. In this paper, we use the 3D imaging techniques as a new solution for forensic human image identification. The 3D imaging will provide one more dimension information for forensic examination of human images. Firstly, we introduce a dimension classification theory to forensic identification of human images for the first time, namely, the two-dimension, quasi-3D, and three dimension based forensic human image identification techniques. We describe 3D imaging techniques for human being and the new 3D imaging based forensic human identification techniques are discussed, which will provide more intuitive human identity information perception experience in the visual examination for experts, and offer more dimensional individual information and visual angles for feature comparison. Moreover, the more detailed and precise visual features will be available for forensic identification of human images. With the increasingly maturity of the 3D imaging techniques, the dimensional innovation of techniques in the field of forensic identification of human images will be increasingly improved, and the accuracy of forensic identification of human images will be more comprehensively guaranteed.\",\"PeriodicalId\":178822,\"journal\":{\"name\":\"Proceedings of the 4th International Conference on Computer Science and Application Engineering\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Conference on Computer Science and Application Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3424978.3425104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3424978.3425104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D Imaging Techniques for Forensic Identification of Human Images
Traditional techniques on forensic identification of human images are more focused on the inspection and analysis of two-dimensional images, while 3D imaging has been around in some form for decades. In this paper, we use the 3D imaging techniques as a new solution for forensic human image identification. The 3D imaging will provide one more dimension information for forensic examination of human images. Firstly, we introduce a dimension classification theory to forensic identification of human images for the first time, namely, the two-dimension, quasi-3D, and three dimension based forensic human image identification techniques. We describe 3D imaging techniques for human being and the new 3D imaging based forensic human identification techniques are discussed, which will provide more intuitive human identity information perception experience in the visual examination for experts, and offer more dimensional individual information and visual angles for feature comparison. Moreover, the more detailed and precise visual features will be available for forensic identification of human images. With the increasingly maturity of the 3D imaging techniques, the dimensional innovation of techniques in the field of forensic identification of human images will be increasingly improved, and the accuracy of forensic identification of human images will be more comprehensively guaranteed.