人体摄影测量:创造性从业者的基础技术

Trendt Boe, Chris P. Carter
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引用次数: 3

摘要

摄影测量已经成为真实世界物体的逼真数字复制和3D扫描的主要方法,特别是在电影视觉效果和互动娱乐领域。虽然该技术通常依赖于简单的摄影方法,但人体摄影测量领域的基础实践仍然相对没有记载。无论是在摄影测量捕捉方面,还是在数字复制方面,人体主体都比静物要复杂得多。如果没有对人类受试者的基础实践的记录,对于新的创造性从业者在该领域的操作存在重大的知识障碍,从而扼杀了该技术的创新和采用。目前在这一领域工作的研究人员和商业从业者不断地传播学习和研究成果。这些学习往往集中在更高级的实践上,比如捕捉微观几何形状(皮肤毛孔)、反射率和皮肤变形。然而,建立捕获系统的标准原则、对人类主体的考虑、处理考虑和技术要求仍然难以捉摸。本研究的目的是建立人体摄影测量系统的基础实践。这些实践封装了捕获系统的底层架构,通过必要的数据处理进行人体主体的3D重建。以设计为主导的研究,构建了一个规模为21个摄像头的系统,设计用于高质量的人体头部数据采集。由于其令人难以置信的表面复杂性,人脸被用于实验各种捕获技术和系统安排,使用几个人类受试者。所使用的方法是对现有实践者和研究进行分析的结果,并通过多次系统设计迭代加以改进。一组独特的发现被综合起来,形成了一个基本的架构和蓝图,规模,人体摄影测量多相机系统。它涵盖了构建一个生产就绪的摄影测量系统所需的必要知识和原则,该系统能够满足视觉效果和互动娱乐生产的需求,并具有一致的高质量捕获。
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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.
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
4
审稿时长
>12 weeks
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.
期刊最新文献
On morphs of 1-plane graphs A Geometric Approach to Inelastic Collapse Near-optimal algorithms for point-line fitting problems Algorithms for approximate sparse regression and nearest induced hulls Recognizing weighted and seeded disk graphs
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