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Interactive Rapid Prototyping based on Computer Graphics for the Image Acquisition in Automated Visual Inspection

基于计算机图形学的交互式快速原型设计，用于自动视觉检测中的图像采集

基本信息

批准号：
259155146
负责人：
Professor Dr.-Ing. Jürgen Beyerer
金额：
--
依托单位：
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2014
资助国家：
德国
起止时间：
2013-12-31 至 2018-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/259155146?language=en
关键词：
Interactive Rapid Prototyping based Computer

项目摘要

In this project, we will research and develop basic concepts and methods to use synthetically generated images for reducing the high effort for design, development, implementation, and testing of systems for automated visual inspection (AVI) and to increase their performance and robustness. Our new approach comprises a fundamental and systematic investigation of the use of synthetic images, created by means of computer graphics (CG), for these purposes. To this end, our goal is to create a solid scientific foundation for simulation approaches in general, to be achieved by developing and defining appropriate methods and criteria. These results are expected to find broad applications in numerous tasks of image processing systems, and also more generally in the field of sensor simulation. In particular, they will facilitate and improve the design and evaluation of high-performance and robust AVI systems for applications in safety critical or quality sensitive areas.In contrast to previous approaches, we will utilize information which is available from the image generation process for a guided, and thus significantly improved and accelerated, optimization of AVI systems. As an example, the visibility between objects and illumination as well as the entire flow of light within the setup are known during the image synthesis in CG and can be used to find the optimal image acquisition setup of the AVI system.Another difference to previous works is the introduction of an interactive and (partially) automated optimization process for the image acquisition components extrinsic and intrinsic parameters as well as the optimal number of images for image sequences. Within this process, first the visual inspection method which will be used is selected by an AVI-expert. In order to optimally determine the numerous parameters of the acquisition setup, an automated parameter optimization based on the information obtained from the image synthesis is performed; the inspection method is only modified by the expert, when she/he decides to do so because of unsatisfactory results. This task sharing combines the competence of the expert and the advantages of an automated optimization based on CG in a productive way.In this proposed joint project, the cooperation of three institutes, each of them providing relevant expertise in the respective research area, makes it possible to explore this interdisciplinary topic with a thoroughness which has not been reached by previous approaches. In consequence, we expect results which are also applicable for a wide range of applications.

在本项目中，我们将研究和开发基本概念和方法，使用合成生成的图像，以减少自动视觉检测（AVI）系统的设计，开发，实施和测试的高工作量，并提高其性能和鲁棒性。我们的新方法包括使用合成图像的基本和系统的调查，通过计算机图形（CG），为这些目的创建。为此，我们的目标是通过开发和定义适当的方法和标准，为一般的模拟方法建立坚实的科学基础。这些结果有望在图像处理系统的许多任务中找到广泛的应用，并且更普遍地在传感器模拟领域中。特别是，他们将促进和改善高性能和强大的AVI系统的安全关键或质量敏感areas.In对比以前的方法，应用的设计和评估，我们将利用信息，这是从图像生成过程中的指导，从而显着改善和加速，优化AVI系统。作为一个例子，在CG中的图像合成期间，对象和照明之间的可见性以及设置内的整个光流是已知的，并且可以用于找到AVI系统的最佳图像采集设置。与以前的作品的另一个区别是引入了交互式和- 针对图像采集组件外部和内部参数以及图像序列的图像的最佳数量的（部分）自动优化过程。在此过程中，首先由AVI专家选择将使用的目视检查方法。为了最佳地确定采集设置的多个参数，根据从图像合成中获得的信息进行自动参数优化;只有在专家因结果不满意而决定修改检查方法时，才由专家修改检查方法。这种任务共享结合了专家的能力和基于CG的自动优化的优势。在这个拟议的联合项目中，三个研究所的合作，每个研究所都提供各自研究领域的相关专业知识，使得有可能探索这个跨学科的主题，其彻底性是以前的方法所没有达到的。因此，我们期望的结果也适用于广泛的应用。