Flexible decoupled camera and projector fringe projection system using inertial sensors

Abstract

, "Flexible decoupled camera and projector fringe projection system using inertial sensors," Opt. Eng. Abstract. Measurement of objects with complex geometry and many self-occlusions is increasingly important in many fields, including additive manufacturing. In a fringe projection system, the camera and the projector cannot move independently with respect to each other, which limits the ability of the system to overcome object selfocclusions. We demonstrate a fringe projection setup where the camera can move independently with respect to the projector, thus minimizing the effects of self-occlusion. The angular motion of the camera is tracked and recalibrated using an on-board inertial angular sensor, which can additionally perform automated point cloud registration.

Information-Rich Manufacturing Metrology

“…These recalibration steps are usually time consuming and involve the measurement of calibrated patterns on planes, before the actual object can continue to be measured after a motion of a camera or projector has been introduced in the setup and hence do not facilitate fast and efficient 3D measurement of objects. By employing and combining a priori information via inverse rendering, on-board sensors (Stavroulakis et al 2017b), deep learning and leveraging a graphics processor unit, we have developed a fine camera pose estimation method which is based on optimising the rendering of a model of a scene and the object to match the view from the camera (see Fig. 4).…”

Camera-Projector Calibration Methods with Compensation of Geometric Distortions in Fringe Projection Profilometry: A Comparative Study

“…The calibration of the FPP system is a crucial step for achieving accurate measurements. Many calibration methods have been proposed, however they can be broadly classified in two categories: phaseto-height mapping methods [7]- [10] or stereo-vision methods [2], [11], [12]. In the first category, the relations between phase and the height of the object have to be identified and constructed either by a modelbased approach or a polynomial fit [6], [13].…”

“…These techniques often work by displacing a plane, perpendicular to the camera axis, in accurately known values and establishing the phase-to-height relation for each pixel in the camera. In the second category, the camera and the projector form a calibrated stereo vision system, in which the projector is regarded as an inverse camera [11], [12], [14]- [16]. However, as opposed to a traditional stereo vision system, the fringe projection approach does not require feature matching.…”

Improving Performance of Projector with the Protection of the Eyes while using a Smart Board

“…Several sties focus on how to solve problems using the projector, and among these problems are the different dimensions and measurements of the scene when moving the projector from one place to another. One of the solutions is to put a camera for the scene and return a Data to correct the amount of displacement and deviation of this scene using ready-made algorithms and others suggested New algorithms [1][2][3][4][5][6][7].…”