5.1.1 - Potential and Challenges of using Computer Graphics for the Simulation of Optical Measurement Systems
5.1.1 - Potential and Challenges of using Computer Graphics for the Simulation of Optical Measurement Systems
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5.1.1 - 使用计算机图形学模拟光学测量系统的潜力和挑战
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
J. Beyerer
中科院分区：
文献类型：
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作者：
Max;J. Hanika;C. Dachsbacher;J. Beyerer
基于物理的图像合成方法是计算机图形学（CG）的一个研究方向，它能够完整地模拟光学测量系统，从而为光学测量系统的开发、仿真、优化和验证提供了一种有趣的方法。此外，其他CG方法，即所谓的程序建模技术，可用于快速生成大量虚拟样本及其场景，其中包含与物理测试对象和真实场景相同的种类（例如，如果数字化样本数据不可用或难以获得）。考虑到光源、材料、复杂镜头系统和传感器特性，适当的图像合成（渲染）技术可以为虚拟场景生成逼真的图像，并可用于评估和改进独立于物理实现的复杂测量系统和自动光学检测（AOI）系统。在本文中，我们描述了一个用于评估和优化测量和AOI系统的图像生成管道，我们概述了合适的图像合成方法及其特点，我们讨论了设计和规范给定测量情况的挑战，以便允许可靠的模拟和验证。
Physically-based image synthesis methods, a research direction in computer graphics (CG), are capable of simulating optical measuring systems in their entirety and thus constitute an interesting approach for the development, simulation, optimization, and validation of such systems. In addition, other CG methods, so called procedural modeling techniques, can be used to quickly generate large sets of virtual samples and scenes thereof that comprise the same variety as physical testing objects and real scenes (e.g., if digitized sample data is not available or difficult to acquire). Appropriate image synthesis (rendering) techniques result in a realistic image formation for the virtual scenes, considering light sources, material, complex lens systems, and sensor properties, and can be used to evaluate and improve complex measuring systems and automated optical inspection (AOI) systems independent of a physical realization. In this paper, we describe an image generation pipeline for the evaluation and optimization of measuring and AOI systems, we provide an overview over suitable image synthesis methods and their characteristics, and we discuss the challenges for the design and specification of a given measuring situation in order to allow for a reliable simulation and validation.