Survey on the View Planning Problem for Reverse Engineering and Automated Control Applications. (December 2021)

• Record Type: Journal Article
• Authors: Peuzin-Jubert, Manon; Polette, Arnaud; Nozais, Dominique; Mari, Jean-Luc; Pernot, Jean-Philippe
• Is Part Of: Computer aided design. Volume 141(2021)
• Publication Date: 2021-12
• Subjects: Point cloud -- View planning -- Optical sensor -- Measurement -- 3D reconstruction -- Object inspection; Computer-aided design -- Periodicals; Engineering design -- Data processing -- Periodicals; Computer graphics -- Periodicals; Conception technique -- Informatique -- Périodiques; Infographie -- Périodiques; Computer graphics; Engineering design -- Data processing; Periodicals; Electronic journals; 620.00420285
• DOI: 10.1016/j.cad.2021.103094
• Languages: English
• ISSNs: 0010-4485

Abstract

Abstract: 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. Graphical abstract: Highlights: Defined and formalized macrocategories to group methods to solve the view planning problem (VPP). Defined and grouped criteria characterize the existing methods to solve the VPP. Extensively analyzed and compared the approaches to solve the VPP. Discussed the open issues and future challenges.