Reflectivity function based illumination and sensor planning for industrial inspection

Ellenrieder, Marc M.; Wöhler, Christian; d’Angelo, Pablo

doi:10.1117/12.612547

Cited by 3 publications

(4 citation statements)

References 9 publications

(10 reference statements)

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“…They showed how the model can be fitted to measured reflectance values and how the fitted model can be used to determine a suitable illumination position. Together with a given sensor pose, this illumination position can be used to calculate the necessary shutter time, aperture, focus setting, and expected gray value to successfully perform a given inspection task (Ellenrieder et al 2005b).…”

Section: Active Lightingmentioning

confidence: 99%

Active vision in robotic systems: A survey of recent developments

Chen

Kwok

2011

The International Journal of Robotics Research

357

204

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In this paper we provide a broad survey of developments in active vision in robotic applications over the last 15 years. With increasing demand for robotic automation, research in this area has received much attention. Among the many factors that can be attributed to a high-performance robotic system, the planned sensing or acquisition of perceptions on the operating environment is a crucial component. The aim of sensor planning is to determine the pose and settings of vision sensors for undertaking a vision-based task that usually requires obtaining multiple views of the object to be manipulated. Planning for robot vision is a complex problem for an active system due to its sensing uncertainty and environmental uncertainty. This paper describes such problems arising from many applications, e.g. object recognition and modeling, site reconstruction and inspection, surveillance, tracking and search, as well as robotic manipulation and assembly, localization and mapping, navigation and exploration. A bundle of solutions and methods have been proposed to solve these problems in the past. They are summarized in this review while enabling readers to easily refer solution methods for practical applications. Representative contributions, their evaluations, analyses, and future research trends are also addressed in an abstract level.

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Section: Active Lightingmentioning

confidence: 99%

Active vision in robotic systems: A survey of recent developments

Chen

Kwok

2011

The International Journal of Robotics Research

357

204

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“…Most of them either try to optimize the configuration of a single sensor for a given task or try to find a short view plan in order to obtain complete visibility of the entire object, e.g. [4,[18][19][20]22]. However, all surveys focus on different subsets of the entire optimization problem, since the global optimization problem belongs to the group of numerical hard problems and is not trivial.…”

Section: Assistance System For the Inspection Planningmentioning

confidence: 99%

“…Ellenrieder et al [19] presented an approach to find optimal camera positions such that different features on an object are entirely seen by one acquired frame. In the next step, the view-planning process considers not only the visibility of certain areas from various sensor positions, but tries to optimize over further quality criteria, like illumination conditions or the measurement uncertainty that decreases if the same surface is measured from different positions and angles [20][21][22]. Weckenmann et al [23] presented an assistance system for planning fringe projection measurements.…”

Section: Introductionmentioning

confidence: 99%

View and sensor planning for multi-sensor surface inspection

Gronle

2016

Surf. Topogr.: Metrol. Prop.

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Modern manufacturing processes enable the precise fabrication of high-value parts with high precision and performance. At the same time, the demand for flexible on-demand production of individual objects is continuously increasing. These requirements can only be met if inspection systems provide appropriate answers. One solution is the use of flexible, multi-sensor setups where multiple optical sensors with different fields of application are combined in one system. However, the challenge is then to assist the user in planning the inspection for individual parts. A manual planning requires an expert knowledge of the performance and functionality of every sensor. Therefore, software assistant systems help the user to objectively select the right sensors for a given inspection task. The planning step becomes still more difficult if the manufactured part has a complex form. The implication is that a sensor's position must also be part of the planning process since it significantly influences the quality of the inspection. This paper describes a view and sensor planning approach for a multi-sensor surface inspection system in the context of optical topography measurements in the micro-and meso-scale range. In order to realize an online processing of the assistant system, a significant part of the calculations are done on the graphics processing unit (GPU).

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“…The final, optimal viewpoints are found by minimizing the scalar cost functions. Similarly, the visibility map can be used to find an illumination position [5], from which a desired feature illumination condition, e.g. specular or diffuse reflection, can be observed.…”

Section: Optimal Camera and Illumination Planningmentioning

confidence: 99%

A Versatile Model-Based Visibility Measure for Geometric Primitives

et al. 2005

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Abstract. In this paper, we introduce a novel model-based visibility measure for geometric primitives called visibility map. It is simple to calculate, memory efficient, accurate for viewpoints outside the convex hull of the object and versatile in terms of possible applications. Several useful properties of visibility maps that show their superiority to existing visibility measures are derived. Various example applications from the automotive industry where the presented measure is used successfully conclude the paper.

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Reflectivity function based illumination and sensor planning for industrial inspection

Cited by 3 publications

References 9 publications

Active vision in robotic systems: A survey of recent developments

Active vision in robotic systems: A survey of recent developments

View and sensor planning for multi-sensor surface inspection

A Versatile Model-Based Visibility Measure for Geometric Primitives

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