Physically based computer graphics for realistic image formation to simulate optical measurement systems
Physically based computer graphics for realistic image formation to simulate optical measurement systems
复制标题
基于物理的计算机图形学，用于形成逼真的图像，以模拟光学测量系统
DOI：
10.5194/jsss-6-171-2017
复制
发表时间：
2017
影响因子：
1
通讯作者：
C. Dachsbacher
中科院分区：
文献类型：
--
作者：
Max;J. Hanika;J. Beyerer;C. Dachsbacher
抽象的。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，能够完整地模拟光学测量系统，因此构成了开发，仿真，优化和验证此类系统的有趣方法。此外，其他CG方法，所谓的过程建模技术，可以用于快速生成虚拟样本及其场景的大集合，其包括与物理测试对象和真实的场景相同的种类（例如，如果数字化采样数据不可用或难以获取）。考虑到光源、材料、复杂的透镜系统和传感器特性，适当的图像合成（渲染）技术导致虚拟场景的逼真图像形成，并且可以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，我们提供了一个合适的图像合成方法及其特点的概述，我们讨论了一个给定的测量情况的设计和规格的挑战，以允许一个可靠的模拟和验证，我们描述了一个图像生成管道适合测量和AOI系统的评估和优化。
Abstract. 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 are 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 provide an overview of suitable image synthesis methods and their characteristics, we discuss the challenges for the design and specification of a given measuring situation in order to allow for a reliable simulation and validation, and we describe an image generation pipeline suitable for the evaluation and optimization of measuring and AOI systems.
广角镜头的稀疏高次多项式
影响因子：
2.5
作者：
Emanuel Schrade;Johannes Hanika;und Carsten Dachsbacher
通讯作者：
und Carsten Dachsbacher