Survey on the View Planning Problem for Reverse Engineering and Automated Control Applications
Article dans une revue avec comité de lecture
Date
2021-12Journal
Computer-Aided DesignAbstract
At present, optical sensors are being widely used to realize high quality control or reverse engineering
of products, systems, buildings, environments or human bodies. Although the intrinsic characteristics
of such breakthrough technologies may vary, ensuring complete acquisition relies on the definition
of the optimal acquisition planning. To this end, the view planning problem (VPP) must be solved
to automatically determine the optimal positions and/or trajectories of the acquisition devices to
fully cover the part to be digitized. Such an automatization of the entire acquisition process is of
considerably interest in the context of Industry 4.0. The aim of this paper is to review the state
of the art works addressing the view planning problem and to identify the future challenges and
possible research directions. First, the paper introduces a set of criteria to analyze the available
methods, grouped into several macrocategories. The categories are presented and formalized to clearly
understand the backbone and similarities of the grouped methods. Second, the paper describes and
characterizes the available methods, based on their analysis according to the adopted criteria. The
results of this extensive analysis clearly highlight the open issues and future challenges.
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