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Integrated calibration of multiview phase-measuring profilometry
Institution:1. School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;2. Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) of Ministry of Education, College of Computer Science, Chongqing University, Chongqing 400044, China;3. Key Laboratory of Electronic Commerce and Logistics of Chongqing, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;1. School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315211, China;2. Key Laboratory of Applied Mechanics (AML), Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China;1. Manufacturing Metrology Team, Faculty of Engineering, University of Nottingham, Nottingham, UK;2. Ecole Nationale d''Ingénieurs de Saint Etienne, Saint Etienne, France;3. Department of Computer Science, University of Nottingham, Nottingham, UK
Abstract:Phase-measuring profilometry (PMP) measures per-pixel height information of a surface with high accuracy. Height information captured by a camera in PMP relies on its screen coordinates. Therefore, a PMP measurement from a view cannot be integrated directly to other measurements from different views due to the intrinsic difference of the screen coordinates. In order to integrate multiple PMP scans, an auxiliary calibration of each camera’s intrinsic and extrinsic properties is required, in addition to principal PMP calibration. This is cumbersome and often requires physical constraints in the system setup, and multiview PMP is consequently rarely practiced. In this work, we present a novel multiview PMP method that yields three-dimensional global coordinates directly so that three-dimensional measurements can be integrated easily. Our PMP calibration parameterizes intrinsic and extrinsic properties of the configuration of both a camera and a projector simultaneously. It also does not require any geometric constraints on the setup. In addition, we propose a novel calibration target that can remain static without requiring any mechanical operation while conducting multiview calibrations, whereas existing calibration methods require manually changing the target’s position and orientation. Our results validate the accuracy of measurements and demonstrate the advantages on our multiview PMP.
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