{"title":"人体摄影测量:创造性从业者的基础技术","authors":"Trendt Boe, Chris P. Carter","doi":"10.5121/ijcga.2020.10101","DOIUrl":null,"url":null,"abstract":"Photogrammetry has emerged as a leading approach for photorealistic digital replication and 3D scanning of real-world objects, particularly in areas of cinematic visual effects and interactive entertainment. While the technique generally relies on simple photography methods, the foundational practices for the field of human photogrammetry remain relatively undocumented.Human subjects are significantly more complex than still life, both in terms of photogrammetric capture, and in digital reproduction. Without the documentation of foundational practices for human subjects, there is a significant knowledge barrier for new creative practitioners to operate in the field, stifling innovation and adoption of the technique.Researchers and commercial practitioners currently working in this field continually distribute learnings and research outcomes. These learnings tend to centralise more on advanced practices such as capturing micro-geometry (skin pores), reflectance and skin distortion. However, the standard principles for building capture systems, considerations for human subjects, processing considerations and technology requirements remain elusive. The purpose of this research is to establish foundational practices for human photogrammetry systems. These practices encapsulate the underlying architectures of capture systems, through to necessary data processing for the 3D reconstruction of human subjects.Design-led research was used to construct a scale 21-camera system, designed for high-quality data capture of the human head. Due to its incredible level of surface complexity, the face was used to experiment with a variety of capture techniques and system arrangements, using several human subjects. The methods used were a result of the analysis of existing practitioners and research, refined through numerous iterations of system design.A distinct set of findings were synthesised to form a foundational architecture and blueprint for a scale, human photogrammetry multi-camera system. It covers the necessary knowledge and principles required to construct a production-ready photogrammetry system capable of consistent, high-quality capture that meets the needs of visual effects and interactive entertainment production.","PeriodicalId":54969,"journal":{"name":"International Journal of Computational Geometry & Applications","volume":"10 1","pages":"1-20"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Human Photogrammetry: Foundational Techniques for Creative Practitioners\",\"authors\":\"Trendt Boe, Chris P. Carter\",\"doi\":\"10.5121/ijcga.2020.10101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Photogrammetry has emerged as a leading approach for photorealistic digital replication and 3D scanning of real-world objects, particularly in areas of cinematic visual effects and interactive entertainment. While the technique generally relies on simple photography methods, the foundational practices for the field of human photogrammetry remain relatively undocumented.Human subjects are significantly more complex than still life, both in terms of photogrammetric capture, and in digital reproduction. Without the documentation of foundational practices for human subjects, there is a significant knowledge barrier for new creative practitioners to operate in the field, stifling innovation and adoption of the technique.Researchers and commercial practitioners currently working in this field continually distribute learnings and research outcomes. These learnings tend to centralise more on advanced practices such as capturing micro-geometry (skin pores), reflectance and skin distortion. However, the standard principles for building capture systems, considerations for human subjects, processing considerations and technology requirements remain elusive. The purpose of this research is to establish foundational practices for human photogrammetry systems. These practices encapsulate the underlying architectures of capture systems, through to necessary data processing for the 3D reconstruction of human subjects.Design-led research was used to construct a scale 21-camera system, designed for high-quality data capture of the human head. Due to its incredible level of surface complexity, the face was used to experiment with a variety of capture techniques and system arrangements, using several human subjects. The methods used were a result of the analysis of existing practitioners and research, refined through numerous iterations of system design.A distinct set of findings were synthesised to form a foundational architecture and blueprint for a scale, human photogrammetry multi-camera system. It covers the necessary knowledge and principles required to construct a production-ready photogrammetry system capable of consistent, high-quality capture that meets the needs of visual effects and interactive entertainment production.\",\"PeriodicalId\":54969,\"journal\":{\"name\":\"International Journal of Computational Geometry & Applications\",\"volume\":\"10 1\",\"pages\":\"1-20\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computational Geometry & Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/ijcga.2020.10101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Geometry & Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/ijcga.2020.10101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
Human Photogrammetry: Foundational Techniques for Creative Practitioners
Photogrammetry has emerged as a leading approach for photorealistic digital replication and 3D scanning of real-world objects, particularly in areas of cinematic visual effects and interactive entertainment. While the technique generally relies on simple photography methods, the foundational practices for the field of human photogrammetry remain relatively undocumented.Human subjects are significantly more complex than still life, both in terms of photogrammetric capture, and in digital reproduction. Without the documentation of foundational practices for human subjects, there is a significant knowledge barrier for new creative practitioners to operate in the field, stifling innovation and adoption of the technique.Researchers and commercial practitioners currently working in this field continually distribute learnings and research outcomes. These learnings tend to centralise more on advanced practices such as capturing micro-geometry (skin pores), reflectance and skin distortion. However, the standard principles for building capture systems, considerations for human subjects, processing considerations and technology requirements remain elusive. The purpose of this research is to establish foundational practices for human photogrammetry systems. These practices encapsulate the underlying architectures of capture systems, through to necessary data processing for the 3D reconstruction of human subjects.Design-led research was used to construct a scale 21-camera system, designed for high-quality data capture of the human head. Due to its incredible level of surface complexity, the face was used to experiment with a variety of capture techniques and system arrangements, using several human subjects. The methods used were a result of the analysis of existing practitioners and research, refined through numerous iterations of system design.A distinct set of findings were synthesised to form a foundational architecture and blueprint for a scale, human photogrammetry multi-camera system. It covers the necessary knowledge and principles required to construct a production-ready photogrammetry system capable of consistent, high-quality capture that meets the needs of visual effects and interactive entertainment production.
期刊介绍:
The International Journal of Computational Geometry & Applications (IJCGA) is a quarterly journal devoted to the field of computational geometry within the framework of design and analysis of algorithms.
Emphasis is placed on the computational aspects of geometric problems that arise in various fields of science and engineering including computer-aided geometry design (CAGD), computer graphics, constructive solid geometry (CSG), operations research, pattern recognition, robotics, solid modelling, VLSI routing/layout, and others. Research contributions ranging from theoretical results in algorithm design — sequential or parallel, probabilistic or randomized algorithms — to applications in the above-mentioned areas are welcome. Research findings or experiences in the implementations of geometric algorithms, such as numerical stability, and papers with a geometric flavour related to algorithms or the application areas of computational geometry are also welcome.